LiLa-WAM LIBERO baseline: remove evaluation, open-loop and latency results (weights unchanged)
Browse files- baselines/LiLa-WAM_LIBERO_ours/README.md +0 -43
- baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_manifest.json +0 -111
- baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_summary.json +0 -124
- baselines/LiLa-WAM_LIBERO_ours/results/latency_lilawam_libero_evc103.json +0 -547
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_10_stage1.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_10_stage2.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_goal_stage1.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_goal_stage2.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_object_stage1.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_object_stage2.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_spatial_stage1.json +0 -54
- baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_spatial_stage2.json +0 -54
baselines/LiLa-WAM_LIBERO_ours/README.md
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@@ -59,48 +59,5 @@ Each run is the public `train.py`, unchanged except that its dataset factory rea
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## Status
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- **LIBERO success rates under our matched protocol are pending:** 4 suites × 10 tasks × 50 trials × seeds 42/43/44.
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- **Paper reference:** the paper reports 98.0 / 98.8 / 97.2 / 94.2 (Spatial / Object / Goal / Long), 97.1 average. Those come from the authors' own data and training length, not from these weights.
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- **License:** the LiLa-WAM ModelScope release states Apache-2.0. DINOv3 is under Meta's DINOv3 license and is not redistributed here.
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## Results so far (generated from the result files)
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### Training
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| Suite | Stage-1 epoch mean loss (5 epochs) | Stage-2 epoch mean loss (2 epochs) | Final file | sha256 (HF LFS verified) |
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| Long (libero_10) | 0.2737 → 0.1731 → 0.1546 → 0.1430 → 0.1371 | 0.1348 → 0.1318 | `libero_10/stage2_epoch2_final.pt` | `27ad99a458d97a68…` (match) |
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| Goal | 0.3463 → 0.1971 → 0.1710 → 0.1591 → 0.1520 | 0.1484 → 0.1456 | `libero_goal/stage2_epoch2_final.pt` | `5ac2bfd3aad9c2ca…` (match) |
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| Object | 0.2800 → 0.1623 → 0.1444 → 0.1352 → 0.1299 | 0.1277 → 0.1247 | `libero_object/stage2_epoch2_final.pt` | `4571a5f45f02dc61…` (match) |
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| Spatial | 0.3419 → 0.1951 → 0.1742 → 0.1626 → 0.1555 | 0.1528 → 0.1503 | `libero_spatial/stage2_epoch2_final.pt` | `0836ecc4ceefb7fe…` (match) |
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### Open-loop check on held-in demonstration frames (not a success rate)
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512 random training samples per suite, seed 0, public sampling procedure (10 Euler steps). MAE in raw action units over the 6 end-effector deltas; the baseline always predicts the suite's mean action.
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| Suite | Checkpoint | MAE model | MAE baseline | Gripper sign agreement model / baseline |
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| Long (libero_10) | stage-1 epoch 5 | 0.0729 | 0.1452 | 0.937 / 0.534 |
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| Long (libero_10) | final | 0.0702 | 0.1452 | 0.949 / 0.534 |
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| Goal | stage-1 epoch 5 | 0.0889 | 0.1845 | 0.948 / 0.633 |
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| Goal | final | 0.0853 | 0.1845 | 0.956 / 0.633 |
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| Object | stage-1 epoch 5 | 0.0709 | 0.1600 | 0.939 / 0.537 |
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| Object | final | 0.0682 | 0.1600 | 0.939 / 0.537 |
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| Spatial | stage-1 epoch 5 | 0.0885 | 0.1939 | 0.949 / 0.536 |
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| Spatial | final | 0.0855 | 0.1939 | 0.950 / 0.536 |
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### Latency
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Batch 1 on an H100 80GB (evc103, GPU otherwise idle), 500 recorded raw LIBERO observations after 20 warmup queries, from raw observation to the smoothed host action chunk (12×7): mean 52.0 ms, p50 51.1, p95 61.0, peak 1.12 GB; 0.515B parameters including the frozen DINOv3 (212.1M trainable action model).
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### LIBERO success under our matched protocol
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Protocol lightwam_20261009_matched: 4 suites × 10 tasks × official initial states 0–49 × seeds 42/43/44; 30 settling steps; at most 400 policy steps (700 for Long); success = environment done flag. Each suite uses its own final policy. 6 of 12 predicted actions are executed per query, and the gripper is executed as sign(g). Inference is batched, in bf16.
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| Suite | Successes / episodes | Success % | Seeds 42 / 43 / 44 % |
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|---|---|---|---|
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| Spatial | 554 / 1500 | 36.93 | 9.6 / 68.6 / 32.6 |
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| Object | 293 / 1500 | 19.53 | 18.6 / 21.6 / 18.4 |
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| Goal | 495 / 1500 | 33.00 | 11.0 / 60.8 / 27.2 |
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| Long (libero_10) | 27 / 1500 | 1.80 | 0.2 / 5.2 / 0.0 |
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| **All** | 1369 / 6000 | **22.82** | 9.8 / 39.1 / 19.6 |
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## Status
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- **Paper reference:** the paper reports 98.0 / 98.8 / 97.2 / 94.2 (Spatial / Object / Goal / Long), 97.1 average. Those come from the authors' own data and training length, not from these weights.
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- **License:** the LiLa-WAM ModelScope release states Apache-2.0. DINOv3 is under Meta's DINOv3 license and is not redistributed here.
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baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_manifest.json
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{
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"run": "lilawam_libero_ours_paper_recipe",
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"output": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/eval_matched",
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"checkpoint": "4 per-suite policies: libero_spatial=baselines/LiLa-WAM_LIBERO_ours/libero_spatial/stage2_epoch2_final.pt, libero_object=baselines/LiLa-WAM_LIBERO_ours/libero_object/stage2_epoch2_final.pt, libero_goal=baselines/LiLa-WAM_LIBERO_ours/libero_goal/stage2_epoch2_final.pt, libero_10=baselines/LiLa-WAM_LIBERO_ours/libero_10/stage2_epoch2_final.pt",
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"sha256": "5f73fc1a4b850e6dfcaca8208a5ffbe11847c9f735de5b9a2e41da3bb3b116b0",
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"step": "stage 2 epoch 2 (per suite)",
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"backend": "batched-bf16-server",
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"suite_checkpoints": {
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"libero_spatial": {
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"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_spatial/stage2/sft_2026-10-30_12-14-57/config.yaml",
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"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_spatial/stage2/sft_2026-10-30_12-14-57/checkpoint_epoch_2.pt",
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"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_spatial.json",
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"hf_path": "baselines/LiLa-WAM_LIBERO_ours/libero_spatial/stage2_epoch2_final.pt",
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"sha256": "0836ecc4ceefb7feacc4ef92c5e76f0683cb46819a8b900a14f5febc69b90af1",
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"stats_sha256": "638bdff4b942999608cfadee9a696ac8c7ee40373aa8e2824c24822c4b68036b"
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},
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"libero_object": {
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"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_object/stage2/sft_2026-10-30_11-40-12/config.yaml",
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"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_object/stage2/sft_2026-10-30_11-40-12/checkpoint_epoch_2.pt",
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"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_object.json",
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"hf_path": "baselines/LiLa-WAM_LIBERO_ours/libero_object/stage2_epoch2_final.pt",
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"sha256": "4571a5f45f02dc614c64a396112fcc0dc22687df8305740d40c1ab8c044efbce",
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"stats_sha256": "e2387fa963cb1971c132729e3c87b0d5e105332c8a383ed87d94a9efaee82f37"
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},
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"libero_goal": {
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"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage2/sft_2026-10-30_10-59-26/config.yaml",
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"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage2/sft_2026-10-30_10-59-26/checkpoint_epoch_2.pt",
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"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_goal.json",
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"hf_path": "baselines/LiLa-WAM_LIBERO_ours/libero_goal/stage2_epoch2_final.pt",
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"sha256": "5ac2bfd3aad9c2caa9082bd6d9a78d363c683673472ec6dea60660507ec464ba",
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"stats_sha256": "23a7711c1648546c3e6fe5711ae9c4a2feb3c61e2ecfd74463777334fa1d9092"
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},
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"libero_10": {
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"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_10/stage2/sft_2026-10-30_10-20-08/config.yaml",
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"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_10/stage2/sft_2026-10-30_10-20-08/checkpoint_epoch_2.pt",
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"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_10.json",
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"hf_path": "baselines/LiLa-WAM_LIBERO_ours/libero_10/stage2_epoch2_final.pt",
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"sha256": "27ad99a458d97a68e5bfb5503e7e69f9ddc8c1a80d09bc73a3306dd33211d537",
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"stats_sha256": "8b69db3db1954e51e7cdbdb1eebc8c8d1d4ebb29eb31206f0114f80fd6b9f6b8"
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}
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},
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"protocol": {
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"name": "lightwam_20261009_matched",
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"suites": [
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"libero_spatial",
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"libero_object",
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"libero_goal",
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"libero_10"
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],
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"seeds": [
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42,
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43,
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44
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],
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"tasks": [
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0,
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1,
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2,
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3,
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4,
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5,
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6,
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7,
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8,
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9
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],
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"episodes": 50,
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"max_policy_steps": {
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"libero_spatial": 400,
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"libero_object": 400,
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"libero_goal": 400,
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"libero_10": 700
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},
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"settling_steps": 30,
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"settling_action": [
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0,
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0,
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0,
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0,
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0,
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0,
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-1
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],
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"settling_done": "ignored",
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"replan_steps": 6,
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"action_horizon": 12,
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"denoising_steps": 10,
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"seed_rule": "global seed once per task/seed group; env.seed(base) at construction, env reused for 50 sequential initial states; every query starts from the same noise drawn from a CPU generator seeded with the base seed",
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"success": "environment done flag",
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"precision": "bf16 (public LiLa-WAM inference dtype)",
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"camera": 256,
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"model_image": "[agentview | wrist] 2x256x256 side by side (512x256), both rotated 180 deg",
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"state": "eef pos (3), axis-angle (3), gripper qpos (2)",
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"smoothing": "public B-spline (degree 3, 8 control points)",
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"gripper": "sign(raw predicted gripper); policy trained on raw LIBERO gripper (-1 open, +1 close)",
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"videos": false
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},
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"runner_sha256": "0cab3ce6ea7c37852a61267db0071b6528f3632726d4c47e591f3f4acf9e37a3",
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"adapter_sha256": "a2c0ef722786b6925046fdf2d79743d39e9acc46ee72cccedcc45ee5e5087c5b",
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"host": "evc103",
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"slurm_job_id": "1102933",
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"mujoco_gl": "egl",
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"torch": "2.7.1+cu128",
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"gpus": "0,1",
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"env_workers": 80,
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"max_batch": 64,
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"batch_wait": 0.004,
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"cuda_graphs_requested": true,
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"egl_gpus": "0,1",
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"render_skip": true
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}
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baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_summary.json
DELETED
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{
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"run": "lilawam_libero_ours_paper_recipe",
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"checkpoint": "4 per-suite policies: libero_spatial=baselines/LiLa-WAM_LIBERO_ours/libero_spatial/stage2_epoch2_final.pt, libero_object=baselines/LiLa-WAM_LIBERO_ours/libero_object/stage2_epoch2_final.pt, libero_goal=baselines/LiLa-WAM_LIBERO_ours/libero_goal/stage2_epoch2_final.pt, libero_10=baselines/LiLa-WAM_LIBERO_ours/libero_10/stage2_epoch2_final.pt",
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"checkpoint_sha256": "5f73fc1a4b850e6dfcaca8208a5ffbe11847c9f735de5b9a2e41da3bb3b116b0",
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"checkpoint_step": "stage 2 epoch 2 (per suite)",
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"backend": "batched-bf16-server",
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"episodes": 6000,
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"successes": 1369,
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"success_rate": 0.22816666666666666,
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"per_suite": {
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"libero_spatial": {
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"successes": 554,
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"episodes": 1500,
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"success_rate": 0.36933333333333335,
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"seeds": {
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"42": {
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"successes": 48,
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"episodes": 500,
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"success_rate": 0.096
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},
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"43": {
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"successes": 343,
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"episodes": 500,
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"success_rate": 0.686
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},
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"44": {
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"successes": 163,
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"episodes": 500,
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baselines/LiLa-WAM_LIBERO_ours/results/latency_lilawam_libero_evc103.json
DELETED
|
@@ -1,547 +0,0 @@
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_10_stage1.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_10/stage1/sft_2026-10-30_09-37-52/checkpoint_epoch_5.pt",
|
| 3 |
-
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|
| 4 |
-
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| 5 |
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| 6 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_10_stage2.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_10/stage2/sft_2026-10-30_10-20-08/checkpoint_epoch_2.pt",
|
| 3 |
-
"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_10/stage2/sft_2026-10-30_10-20-08/config.yaml",
|
| 4 |
-
"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_10.json",
|
| 5 |
-
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 22 |
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| 35 |
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| 36 |
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| 37 |
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|
| 39 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_goal_stage1.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage1/sft_2026-10-30_10-37-29/checkpoint_epoch_5.pt",
|
| 3 |
-
"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage1/sft_2026-10-30_10-37-29/config.yaml",
|
| 4 |
-
"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_goal.json",
|
| 5 |
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"samples": 512,
|
| 6 |
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| 9 |
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| 10 |
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| 36 |
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| 54 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_goal_stage2.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage2/sft_2026-10-30_10-59-26/checkpoint_epoch_2.pt",
|
| 3 |
-
"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_goal/stage2/sft_2026-10-30_10-59-26/config.yaml",
|
| 4 |
-
"stats": "/groups/yshang/an221229/data/LiLaWAM_libero_ours_stats_libero_goal.json",
|
| 5 |
-
"samples": 512,
|
| 6 |
-
"seed": 0,
|
| 7 |
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|
| 8 |
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|
| 9 |
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"seconds": 36.9,
|
| 10 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_object_stage1.json
DELETED
|
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| 1 |
-
{
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-
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_object_stage2.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
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|
| 3 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_spatial_stage1.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_spatial/stage1/sft_2026-10-30_11-52-40/checkpoint_epoch_5.pt",
|
| 3 |
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|
| 4 |
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baselines/LiLa-WAM_LIBERO_ours/results/openloop_libero_spatial_stage2.json
DELETED
|
@@ -1,54 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"checkpoint": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_spatial/stage2/sft_2026-10-30_12-14-57/checkpoint_epoch_2.pt",
|
| 3 |
-
"config": "/groups/yshang/an221229/checkpoints/wam_baselines/lilawam/libero_ours_paper_recipe/libero_spatial/stage2/sft_2026-10-30_12-14-57/config.yaml",
|
| 4 |
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| 5 |
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| 48 |
-
0.024212533608078957,
|
| 49 |
-
0.05417237430810928,
|
| 50 |
-
0.040346596390008926,
|
| 51 |
-
0.9938967227935791
|
| 52 |
-
]
|
| 53 |
-
}
|
| 54 |
-
}
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