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LiLa-WAM LIBERO baseline: remove evaluation, open-loop and latency results (weights unchanged)

Browse files
baselines/LiLa-WAM_LIBERO_ours/README.md CHANGED
@@ -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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-
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- ## Results so far (generated from the result files)
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-
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- ### Training
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-
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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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- |---|---|---|---|---|
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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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-
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- ### Open-loop check on held-in demonstration frames (not a success rate)
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-
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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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-
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- | Suite | Checkpoint | MAE model | MAE baseline | Gripper sign agreement model / baseline |
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- |---|---|---|---|---|
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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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-
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- ### Latency
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-
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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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-
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- ### LIBERO success under our matched protocol
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-
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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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-
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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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62
  - **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.
63
  - **License:** the LiLa-WAM ModelScope release states Apache-2.0. DINOv3 is under Meta's DINOv3 license and is not redistributed here.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_manifest.json DELETED
@@ -1,111 +0,0 @@
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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": "/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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- "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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- "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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- "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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- }
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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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- 44
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- ],
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- "tasks": [
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- 0,
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- 1,
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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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- 0,
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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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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
baselines/LiLa-WAM_LIBERO_ours/results/eval_matched_summary.json DELETED
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