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  1. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/phase_schedule.json +55 -0
  2. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/pretrained_model/action_space_manifest.json +205 -0
  3. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/pretrained_model/config.json +117 -0
  4. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/pretrained_model/policy_postprocessor.json +23 -0
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  11. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/training_state/training_step.json +5 -0
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  18. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260721_181948-nf69vc3o/logs/debug-internal.log +15 -0
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  26. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260722_031956-nf69vc3o/files/output.log +22 -0
  27. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260722_031956-nf69vc3o/files/requirements.txt +117 -0
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  31. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260722_031956-nf69vc3o/logs/debug.log +20 -0
  32. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/debug-internal.log.rerun_20260719_231636 +0 -0
  33. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/debug.log.rerun_20260719_231636 +46 -0
  34. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260719_231652-r3cz38bm/files/output.log +217 -0
  35. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260719_231652-r3cz38bm/files/wandb-metadata.json +91 -0
  36. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/files/output.log +100 -0
  37. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/logs/debug.log +46 -0
  38. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/output.log +37 -0
  39. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/wandb-metadata.json +52 -0
  40. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/wandb-summary.json +1 -0
  41. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/logs/debug.log +46 -0
  42. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/run-r3cz38bm.wandb +0 -0
  43. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/config.yaml +332 -0
  44. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/output.log +33 -0
  45. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/wandb-metadata.json +52 -0
  46. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug-core.log +48 -0
  47. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug.log +46 -0
  48. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_181953-a9vyia29/run-a9vyia29.wandb +0 -0
  49. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_182104-a9vyia29/files/config.yaml +334 -0
  50. Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_182104-a9vyia29/files/output.log +102 -0
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+ }
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Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/pretrained_model/train_config.json ADDED
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Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/prompt_manifest.json ADDED
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+ "mapping_sha256": "f71954786e94cdeceb135dde09fdc6b65db0b87ab3b09d25060129d0f0fde018",
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+ "3c": "Open the door, rotate clockwise and pull.",
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+ "5h": "Close the bottle in counter-clockwise direction.",
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+ "5d": "Close the bottle in clockwise direction.",
35
+ "3d": "Open the door, rotate counter-clockwise and pull.",
36
+ "5e": "Close the bottle in counter-clockwise direction.",
37
+ "5a": "Grip the cap on the sides indicated by the 'squeeze' arrow and open the bottle in counter-clockwise direction.",
38
+ "5c": "Open the bottle in clockwise direction."
39
+ }
40
+ }
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/resolved_config.yaml ADDED
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1
+ dataset:
2
+ repo_id: Whalswp/INSIGHTfixposV4_filtered_multispace_v2
3
+ root: /home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2
4
+ policy:
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+ type: groot_rkd
6
+ device: cuda
7
+ chunk_size: 16
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+ n_action_steps: 16
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+ push_to_hub: false
10
+ warmup_steps: 6000
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+ tune_llm: false
12
+ tune_visual: false
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+ tune_top_llm_layers: 0
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+ tune_projector: true
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+ tune_diffusion_model: true
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+ tune_vlln: true
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+ rkd_enabled: true
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+ rkd_vae_checkpoint: /home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84
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+ rkd_student_pooling: attention
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+ rkd_student_attention_hidden_dim: 512
21
+ rkd_student_attention_output_dim: 512
22
+ rkd_fm_loss_weight: 1.0
23
+ rkd_loss_weight: 1.0
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+ rkd_distance_weight: 1.0
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+ rkd_angle_weight: 2.0
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+ seed: 42
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+ batch_size: 128
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+ steps: 60000
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+ log_freq: 200
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+ output_dir: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K
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+ job_name: INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_10K
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+ wandb:
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+ enable: true
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+ disable_artifact: true
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/checkpoints/030000/source_config.yaml ADDED
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1
+ # INSIGHT GR00T N1.7 RKD training with LAP-style early RKD guidance.
2
+ # Common RKD values live in the top-level policy; phases contain overrides only.
3
+ insight:
4
+ # Composite policy action: ee_abs_rot6d 10D + ee_delta 6D (duplicate gripper removed)
5
+ action_space: ee_abs_rot6d+ee_delta
6
+ # Options: coarse | detailed
7
+ prompt_set: detailed
8
+ save_steps: ["60K"]
9
+ phases:
10
+ - name: lap_rkd_linear_decay_10K
11
+ until_step: 10K
12
+ policy:
13
+ # Inherits RKD=1.0 below and linearly decays it to zero.
14
+ rkd_loss_weight_end: 0.0
15
+
16
+ - name: fm_only
17
+ until_step: 60K
18
+ policy:
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+ rkd_enabled: false
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+ rkd_loss_weight: 0.0
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+
22
+ dataset:
23
+ repo_id: Whalswp/INSIGHTfixposV4_filtered_multispace_v2
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+ root: ${HOME}/INSIGHTfixposV4_filtered_multispace_v2
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+
26
+ policy:
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+ type: groot_rkd
28
+ device: cuda
29
+ chunk_size: 16
30
+ n_action_steps: 16
31
+ push_to_hub: false
32
+ # LAP Stage-2 warmup scaled to this 60K run: exactly 6K updates.
33
+ warmup_steps: 6000
34
+
35
+ # VLM
36
+ tune_llm: false
37
+ tune_visual: false
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+ tune_top_llm_layers: 0
39
+ # Action Expert
40
+ tune_projector: true
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+ tune_diffusion_model: true
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+ tune_vlln: true
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+
44
+ # Frozen RD TimewarpVAE teacher: ee_abs_rot6d 10D + ee_delta 6D (gripper deduplicated).
45
+ rkd_enabled: true
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+ rkd_vae_checkpoint: ${HOME}/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84
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Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260721_181423-ny0tx2de/files/output.log ADDED
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+ INFO 2026-07-21 18:14:24 db_utils.py:121 Logs will be synced with wandb.
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+ INFO 2026-07-21 18:14:24 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/ny0tx2de
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+ INFO 2026-07-21 18:14:24 ot_train.py:298 Creating dataset
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+ INFO 2026-07-21 18:14:26 ot_train.py:332 Creating policy
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+ INFO 2026-07-21 18:14:26 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K/checkpoints/030000/pretrained_model
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+ INFO 2026-07-21 18:14:26 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
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+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 7323.22it/s]
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+ `torch_dtype` is deprecated! Use `dtype` instead!
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+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:00<00:00, 1972.02it/s]
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+ Loading weights from local directory
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+ INFO 2026-07-21 18:14:37 ot_train.py:405 Creating optimizer and scheduler
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+ INFO 2026-07-21 18:14:39 ot_train.py:103 INSIGHT phase transition: index=1 name=fm_only range=[10000,60000) trainable_params=1620515968
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+ INFO 2026-07-21 18:14:39 ot_train.py:439 Output dir: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K
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+ INFO 2026-07-21 18:14:39 ot_train.py:446 cfg.steps=60000 (60K)
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+ INFO 2026-07-21 18:14:39 ot_train.py:447 dataset.num_frames=218367 (218K)
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+ INFO 2026-07-21 18:14:39 ot_train.py:448 dataset.num_episodes=4930
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+ INFO 2026-07-21 18:14:39 ot_train.py:451 Effective batch size: 128 x 1 = 128
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+ INFO 2026-07-21 18:14:39 ot_train.py:452 num_learnable_params=1620515968 (2B)
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+ INFO 2026-07-21 18:14:39 ot_train.py:453 num_total_params=3145712033 (3B)
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+ INFO 2026-07-21 18:14:39 ot_train.py:494 Resuming data order at epoch 26, sample 82688
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+ Training: 0%| | 0/30000 [00:00<?, ?step/s]INFO 2026-07-21 18:14:40 ot_train.py:604 Start offline training on a fixed dataset, with effective batch size: 128
22
+ Training: 0%| | 111/30000 [04:52<22:01:53, 2.65s/step]
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260721_181423-ny0tx2de/files/wandb-metadata.json ADDED
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+ INFO 2026-07-21 18:21:05 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/nf69vc3o
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+ INFO 2026-07-21 18:21:05 ot_train.py:298 Creating dataset
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+ INFO 2026-07-21 18:21:07 ot_train.py:332 Creating policy
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+ INFO 2026-07-21 18:21:07 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K/checkpoints/030000/pretrained_model
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+ INFO 2026-07-21 18:21:07 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
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+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 7645.06it/s]
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+ `torch_dtype` is deprecated! Use `dtype` instead!
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+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:00<00:00, 1070.70it/s]
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+ Loading weights from local directory
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+ INFO 2026-07-21 18:21:21 ot_train.py:405 Creating optimizer and scheduler
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+ INFO 2026-07-21 18:21:25 ot_train.py:103 INSIGHT phase transition: index=1 name=fm_only range=[10000,60000) trainable_params=1620515968
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+ INFO 2026-07-21 18:21:25 ot_train.py:439 Output dir: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K
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+ INFO 2026-07-21 18:21:25 ot_train.py:446 cfg.steps=60000 (60K)
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+ INFO 2026-07-21 18:21:25 ot_train.py:447 dataset.num_frames=218367 (218K)
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+ INFO 2026-07-21 18:21:25 ot_train.py:448 dataset.num_episodes=4930
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+ INFO 2026-07-21 18:21:25 ot_train.py:451 Effective batch size: 128 x 1 = 128
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+ INFO 2026-07-21 18:21:25 ot_train.py:452 num_learnable_params=1620515968 (2B)
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+ INFO 2026-07-21 18:21:25 ot_train.py:453 num_total_params=3145712033 (3B)
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+ INFO 2026-07-21 18:21:25 ot_train.py:494 Resuming data order at epoch 26, sample 82688
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+ Training: 0%| | 0/30000 [00:00<?, ?step/s]INFO 2026-07-21 18:21:26 ot_train.py:604 Start offline training on a fixed dataset, with effective batch size: 128
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+ Training: 1%| | 200/30000 [08:45<21:22:13, 2.58s/step]INFO 2026-07-21 18:30:11 ot_train.py:649 step:30K smpl:4M ep:87K epch:17.70 loss:0.019 grdn:0.167 lr:5.8e-05 updt_s:1.448 data_s:1.175 smp/s:49 mem_gb:52.85
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+ Training: 4%|▍ | 1200/30000 [51:26<19:53:30, 2.49s/step]INFO 2026-07-21 19:12:52 ot_train.py:649 step:31K smpl:4M ep:90K epch:18.29 loss:0.019 grdn:0.168 lr:5.6e-05 updt_s:1.454 data_s:1.079 smp/s:51 mem_gb:52.88
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+ Training: 6%|β–Œ | 1800/30000 [1:16:37<19:32:24, 2.49s/step]INFO 2026-07-21 19:38:03 ot_train.py:649 step:32K smpl:4M ep:92K epch:18.64 loss:0.018 grdn:0.159 lr:5.4e-05 updt_s:1.440 data_s:1.078 smp/s:51 mem_gb:52.79
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+ Training: 7%|β–‹ | 2200/30000 [1:33:24<19:58:24, 2.59s/step]INFO 2026-07-21 19:54:50 ot_train.py:649 step:32K smpl:4M ep:93K epch:18.87 loss:0.018 grdn:0.169 lr:5.3e-05 updt_s:1.464 data_s:1.051 smp/s:51 mem_gb:52.88
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+ Training: 11%|β–ˆβ– | 3400/30000 [2:24:00<18:40:50, 2.53s/step]INFO 2026-07-21 20:45:26 ot_train.py:649 step:33K smpl:4M ep:97K epch:19.58 loss:0.016 grdn:0.154 lr:4.9e-05 updt_s:1.486 data_s:1.048 smp/s:50 mem_gb:52.88
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+ Training: 12%|β–ˆβ– | 3600/30000 [2:32:30<18:53:46, 2.58s/step]INFO 2026-07-21 20:53:56 ot_train.py:649 step:34K smpl:4M ep:97K epch:19.70 loss:0.017 grdn:0.157 lr:4.9e-05 updt_s:1.493 data_s:1.052 smp/s:50 mem_gb:52.88
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+ Training: 13%|β–ˆβ–Ž | 3800/30000 [2:40:55<18:24:00, 2.53s/step]INFO 2026-07-21 21:02:21 ot_train.py:649 step:34K smpl:4M ep:98K epch:19.81 loss:0.017 grdn:0.158 lr:4.8e-05 updt_s:1.470 data_s:1.051 smp/s:51 mem_gb:52.88
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+ Training: 13%|β–ˆβ–Ž | 4000/30000 [2:49:23<18:16:41, 2.53s/step]INFO 2026-07-21 21:10:49 ot_train.py:649 step:34K smpl:4M ep:98K epch:19.93 loss:0.016 grdn:0.157 lr:4.7e-05 updt_s:1.480 data_s:1.057 smp/s:50 mem_gb:52.79
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+ Training: 14%|β–ˆβ– | 4200/30000 [2:57:48<17:56:25, 2.50s/step]INFO 2026-07-21 21:19:14 ot_train.py:649 step:34K smpl:4M ep:99K epch:20.05 loss:0.016 grdn:0.159 lr:4.7e-05 updt_s:1.478 data_s:1.044 smp/s:51 mem_gb:52.88
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+ Training: 15%|β–ˆβ– | 4400/30000 [3:06:16<18:14:25, 2.57s/step]INFO 2026-07-21 21:27:42 ot_train.py:649 step:34K smpl:4M ep:99K epch:20.16 loss:0.016 grdn:0.152 lr:4.6e-05 updt_s:1.485 data_s:1.049 smp/s:51 mem_gb:52.88
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+ Training: 15%|β–ˆβ–Œ | 4600/30000 [3:14:43<17:54:38, 2.54s/step]INFO 2026-07-21 21:36:09 ot_train.py:649 step:35K smpl:4M ep:100K epch:20.28 loss:0.016 grdn:0.155 lr:4.6e-05 updt_s:1.483 data_s:1.051 smp/s:51 mem_gb:52.88
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+ Training: 16%|β–ˆβ–Œ | 4800/30000 [3:23:10<18:03:02, 2.58s/step]INFO 2026-07-21 21:44:36 ot_train.py:649 step:35K smpl:4M ep:101K epch:20.40 loss:0.015 grdn:0.144 lr:4.5e-05 updt_s:1.488 data_s:1.042 smp/s:51 mem_gb:52.88
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+ Training: 17%|β–ˆβ–‹ | 5000/30000 [3:31:45<19:33:04, 2.82s/step]INFO 2026-07-21 21:53:11 ot_train.py:649 step:35K smpl:4M ep:101K epch:20.52 loss:0.015 grdn:0.143 lr:4.4e-05 updt_s:1.487 data_s:1.082 smp/s:50 mem_gb:52.79
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+ Training: 17%|β–ˆβ–‹ | 5200/30000 [3:40:23<17:11:05, 2.49s/step]INFO 2026-07-21 22:01:49 ot_train.py:649 step:35K smpl:5M ep:102K epch:20.63 loss:0.015 grdn:0.145 lr:4.4e-05 updt_s:1.509 data_s:1.078 smp/s:49 mem_gb:52.88
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+ Training: 18%|β–ˆβ–Š | 5400/30000 [3:48:48<17:35:20, 2.57s/step]INFO 2026-07-21 22:10:14 ot_train.py:649 step:35K smpl:5M ep:102K epch:20.75 loss:0.015 grdn:0.148 lr:4.3e-05 updt_s:1.477 data_s:1.043 smp/s:51 mem_gb:52.88
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+ Training: 19%|β–ˆβ–Š | 5600/30000 [3:57:12<16:49:33, 2.48s/step]INFO 2026-07-21 22:18:38 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.87 loss:0.015 grdn:0.140 lr:4.3e-05 updt_s:1.472 data_s:1.047 smp/s:51 mem_gb:52.88
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+ Training: 19%|β–ˆβ–‰ | 5800/30000 [4:05:39<17:20:22, 2.58s/step]INFO 2026-07-21 22:27:05 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.98 loss:0.014 grdn:0.142 lr:4.2e-05 updt_s:1.486 data_s:1.043 smp/s:51 mem_gb:52.88
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+ Training: 20%|β–ˆβ–ˆ | 6000/30000 [4:14:06<16:39:06, 2.50s/step]INFO 2026-07-21 22:35:32 ot_train.py:649 step:36K smpl:5M ep:104K epch:21.10 loss:0.015 grdn:0.141 lr:4.2e-05 updt_s:1.488 data_s:1.047 smp/s:51 mem_gb:52.88
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+ Training: 21%|β–ˆβ–ˆ | 6200/30000 [4:22:37<16:49:56, 2.55s/step]INFO 2026-07-21 22:44:03 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.22 loss:0.015 grdn:0.148 lr:4.1e-05 updt_s:1.498 data_s:1.051 smp/s:50 mem_gb:52.79
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+ Training: 21%|β–ˆβ–ˆβ– | 6400/30000 [4:31:09<16:53:15, 2.58s/step]INFO 2026-07-21 22:52:35 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.34 loss:0.014 grdn:0.133 lr:4.0e-05 updt_s:1.501 data_s:1.057 smp/s:50 mem_gb:52.88
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+ Training: 22%|β–ˆβ–ˆβ– | 6600/30000 [4:39:39<16:34:06, 2.55s/step]INFO 2026-07-21 23:01:05 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.45 loss:0.014 grdn:0.139 lr:4.0e-05 updt_s:1.490 data_s:1.055 smp/s:50 mem_gb:52.88
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+ Training: 23%|β–ˆβ–ˆβ–Ž | 6800/30000 [4:48:11<16:12:04, 2.51s/step]INFO 2026-07-21 23:09:37 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.57 loss:0.014 grdn:0.146 lr:3.9e-05 updt_s:1.501 data_s:1.054 smp/s:50 mem_gb:52.88
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+ Training: 23%|β–ˆβ–ˆβ–Ž | 7000/30000 [4:56:50<16:23:18, 2.57s/step]INFO 2026-07-21 23:18:16 ot_train.py:649 step:37K smpl:5M ep:107K epch:21.69 loss:0.014 grdn:0.146 lr:3.9e-05 updt_s:1.479 data_s:1.114 smp/s:49 mem_gb:52.88
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+ Training: 24%|β–ˆβ–ˆβ– | 7200/30000 [5:05:24<16:30:46, 2.61s/step]INFO 2026-07-21 23:26:50 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.81 loss:0.014 grdn:0.137 lr:3.8e-05 updt_s:1.445 data_s:1.124 smp/s:50 mem_gb:52.88
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+ Training: 25%|β–ˆβ–ˆβ– | 7400/30000 [5:14:13<16:45:39, 2.67s/step]INFO 2026-07-21 23:35:39 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.92 loss:0.013 grdn:0.139 lr:3.8e-05 updt_s:1.454 data_s:1.186 smp/s:48 mem_gb:52.79
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+ Training: 25%|β–ˆβ–ˆβ–Œ | 7600/30000 [5:22:58<16:06:21, 2.59s/step]INFO 2026-07-21 23:44:24 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.04 loss:0.014 grdn:0.137 lr:3.7e-05 updt_s:1.486 data_s:1.134 smp/s:49 mem_gb:52.88
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+ Training: 26%|β–ˆβ–ˆβ–Œ | 7800/30000 [5:31:38<15:52:37, 2.57s/step]INFO 2026-07-21 23:53:04 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.16 loss:0.013 grdn:0.136 lr:3.6e-05 updt_s:1.484 data_s:1.111 smp/s:49 mem_gb:52.88
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+ Training: 27%|β–ˆβ–ˆβ–‹ | 8000/30000 [5:40:10<15:05:51, 2.47s/step]INFO 2026-07-22 00:01:36 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.27 loss:0.013 grdn:0.143 lr:3.6e-05 updt_s:1.485 data_s:1.072 smp/s:50 mem_gb:52.88
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+ Training: 27%|β–ˆβ–ˆβ–‹ | 8200/30000 [5:48:58<16:15:58, 2.69s/step]INFO 2026-07-22 00:10:24 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.39 loss:0.014 grdn:0.147 lr:3.5e-05 updt_s:1.414 data_s:1.223 smp/s:49 mem_gb:52.88
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+ Training: 28%|β–ˆβ–ˆβ–Š | 8400/30000 [5:57:54<16:08:42, 2.69s/step]INFO 2026-07-22 00:19:20 ot_train.py:649 step:38K smpl:5M ep:111K epch:22.51 loss:0.013 grdn:0.135 lr:3.5e-05 updt_s:1.390 data_s:1.286 smp/s:48 mem_gb:52.79
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+ Training: 29%|β–ˆβ–ˆβ–Š | 8600/30000 [6:07:07<15:08:37, 2.55s/step]INFO 2026-07-22 00:28:33 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.63 loss:0.012 grdn:0.137 lr:3.4e-05 updt_s:1.409 data_s:1.351 smp/s:46 mem_gb:52.88
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+ Training: 29%|β–ˆβ–ˆβ–‰ | 8800/30000 [6:15:56<15:22:18, 2.61s/step]INFO 2026-07-22 00:37:22 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.74 loss:0.013 grdn:0.139 lr:3.4e-05 updt_s:1.415 data_s:1.226 smp/s:48 mem_gb:52.88
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+ Training: 30%|β–ˆβ–ˆβ–ˆ | 9000/30000 [6:27:49<29:07:02, 4.99s/step]INFO 2026-07-22 00:49:15 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.86 loss:0.013 grdn:0.136 lr:3.3e-05 updt_s:1.648 data_s:1.911 smp/s:36 mem_gb:52.88
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+ Training: 31%|β–ˆβ–ˆβ–ˆ | 9200/30000 [6:38:23<15:13:12, 2.63s/step]INFO 2026-07-22 00:59:49 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.98 loss:0.012 grdn:0.129 lr:3.3e-05 updt_s:1.734 data_s:1.434 smp/s:40 mem_gb:52.88
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+ Training: 31%|β–ˆβ–ˆβ–ˆβ– | 9400/30000 [6:47:46<16:12:40, 2.83s/step]INFO 2026-07-22 01:09:12 ot_train.py:649 step:39K smpl:5M ep:114K epch:23.10 loss:0.013 grdn:0.136 lr:3.2e-05 updt_s:1.470 data_s:1.337 smp/s:46 mem_gb:52.88
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+ Training: 32%|β–ˆβ–ˆβ–ˆβ– | 9600/30000 [6:56:57<14:34:48, 2.57s/step]INFO 2026-07-22 01:18:23 ot_train.py:649 step:40K smpl:5M ep:114K epch:23.21 loss:0.012 grdn:0.129 lr:3.2e-05 updt_s:1.497 data_s:1.255 smp/s:47 mem_gb:52.79
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+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 9800/30000 [7:05:57<15:17:38, 2.73s/step]INFO 2026-07-22 01:27:23 ot_train.py:649 step:40K smpl:5M ep:115K epch:23.33 loss:0.012 grdn:0.125 lr:3.1e-05 updt_s:1.464 data_s:1.231 smp/s:47 mem_gb:52.88
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+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10000/30000 [7:14:57<14:22:25, 2.59s/step]INFO 2026-07-22 01:36:23 ot_train.py:649 step:40K smpl:5M ep:116K epch:23.45 loss:0.012 grdn:0.127 lr:3.0e-05 updt_s:1.498 data_s:1.202 smp/s:47 mem_gb:52.88
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+ Training: 34%|β–ˆβ–ˆβ–ˆβ– | 10200/30000 [7:23:40<14:01:54, 2.55s/step]INFO 2026-07-22 01:45:06 ot_train.py:649 step:40K smpl:5M ep:116K epch:23.56 loss:0.012 grdn:0.127 lr:3.0e-05 updt_s:1.478 data_s:1.131 smp/s:49 mem_gb:52.88
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+ Training: 34%|β–ˆβ–ˆβ–ˆβ– | 10336/30000 [7:29:56<14:44:43, 2.70s/step]
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_10K/wandb/run-20260721_182104-nf69vc3o/files/wandb-metadata.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "os": "Linux-6.8.0-55-generic-x86_64-with-glibc2.39",
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+ "python": "CPython 3.12.13",
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+ "startedAt": "2026-07-21T18:21:04.236873Z",
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+ "args": [
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+ "--config_path=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K/checkpoints/030000/pretrained_model/train_config.json",
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+ "--resume=true",
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+ "--dataset.root=/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2",
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+ "--output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K",
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+ "--wandb.run_id=nf69vc3o"
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+ ],
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8
+ config: {'dataset': {'repo_id': 'Whalswp/INSIGHTfixposV4_filtered_multispace_v2', 'root': '/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'return_uint8': False, 'depth_output_unit': 'mm', 'streaming': False, 'eval_split': 0.0}, 'env': None, 'policy': {'type': 'groot_rkd', 'n_obs_steps': 1, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [16]}, 'observation.images.wrist': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.right_shoulder': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.guide': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [16]}}, 'device': 'cuda', 'use_amp': False, 'use_peft': False, 'push_to_hub': False, 'repo_id': None, 'private': None, 'tags': None, 'license': None, 'pretrained_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K/checkpoints/030000/pretrained_model', 'pretrained_revision': None, 'chunk_size': 16, 'n_action_steps': 16, 'max_state_dim': 132, 'max_action_dim': 132, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.IDENTITY: 'IDENTITY'>}, 'base_model_path': 'nvidia/GR00T-N1.7-3B', 'action_decode_transform': None, 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'tune_vlln': True, 'tune_top_llm_layers': 0, 'num_inference_timesteps': None, 'rtc_ramp_rate': None, 'use_flash_attention': False, 'use_relative_actions': False, 'relative_exclude_joints': [], 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_steps': 6000, 'warmup_ratio': 0.05, 'use_bf16': True, 'model_params_fp32': True, 'image_size': [256, 256], 'tokenizer_assets_repo': None, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 32, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False, 'action_expert_num_layers': None, 'rkd_enabled': True, 'rkd_vae_checkpoint': '/home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84', 'rkd_student_pooling': 'attention', 'rkd_student_attention_hidden_dim': 512, 'rkd_student_attention_output_dim': 512, 'rkd_fm_loss_weight': 1.0, 'rkd_loss_weight': 1.0, 'rkd_distance_weight': 1.0, 'rkd_angle_weight': 2.0}, 'reward_model': None, 'output_dir': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K', 'job_name': 'INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_10K', 'resume': True, 'seed': 42, 'cudnn_deterministic': False, 'num_workers': 4, 'batch_size': 128, 'prefetch_factor': 4, 'persistent_workers': True, 'steps': 60000, 'env_eval_freq': 20000, 'log_freq': 200, 'eval_steps': 0, 'max_eval_samples': 0, 'tolerance_s': 0.0001, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 1.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 6000, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': True, 'recording': False, 'recording_repo_id': None, 'recording_private': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': 'nf69vc3o', 'mode': None, 'add_tags': True}, 'peft': None, 'job': {'target': None, 'image': 'huggingface/lerobot-gpu:latest', 'timeout': '2d', 'detach': False, 'tags': []}, 'save_checkpoint_to_hub': False, 'sample_weighting': None, 'rename_map': {}, 'checkpoint_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_10K/checkpoints/030000', '_wandb': {}}
9
+ 2026-07-22 03:19:56,540 INFO MainThread:2617758 [wandb_init.py:init():814] starting backend
10
+ 2026-07-22 03:19:56,758 INFO MainThread:2617758 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-07-22 03:19:57,175 INFO MainThread:2617758 [wandb_init.py:init():834] backend started and connected
12
+ 2026-07-22 03:19:57,176 INFO MainThread:2617758 [wandb_init.py:init():904] updated telemetry
13
+ 2026-07-22 03:19:57,181 INFO MainThread:2617758 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-07-22 03:19:57,820 INFO MainThread:2617758 [wandb_init.py:init():967] run resumed
15
+ 2026-07-22 03:19:57,822 INFO MainThread:2617758 [wandb_init.py:init():972] starting run threads in backend
16
+ 2026-07-22 03:19:57,884 INFO MainThread:2617758 [wandb_run.py:_console_start():2523] atexit reg
17
+ 2026-07-22 03:19:57,884 INFO MainThread:2617758 [wandb_run.py:_redirect():2373] redirect: wrap_raw
18
+ 2026-07-22 03:19:57,884 INFO MainThread:2617758 [wandb_run.py:_redirect():2442] Wrapping output streams.
19
+ 2026-07-22 03:19:57,884 INFO MainThread:2617758 [wandb_run.py:_redirect():2465] Redirects installed.
20
+ 2026-07-22 03:19:57,886 INFO MainThread:2617758 [wandb_init.py:init():1010] run started, returning control to user process
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/debug-internal.log.rerun_20260719_231636 ADDED
The diff for this file is too large to render. See raw diff
 
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/debug.log.rerun_20260719_231636 ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-07-21 18:21:04,216 INFO MainThread:172610 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-07-21 18:21:04,216 INFO MainThread:172610 [wandb_setup.py:_flush():81] Configure stats pid to 172610
3
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_182104-a9vyia29/logs/debug.log
5
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_182104-a9vyia29/logs/debug-internal.log
6
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_init.py:init():766] calling init triggers
7
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'repo_id': 'Whalswp/INSIGHTfixposV4_filtered_multispace_v2', 'root': '/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'return_uint8': False, 'depth_output_unit': 'mm', 'streaming': False, 'eval_split': 0.0}, 'env': None, 'policy': {'type': 'groot_rkd', 'n_obs_steps': 1, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [16]}, 'observation.images.wrist': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.right_shoulder': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.guide': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [16]}}, 'device': 'cuda', 'use_amp': False, 'use_peft': False, 'push_to_hub': False, 'repo_id': None, 'private': None, 'tags': None, 'license': None, 'pretrained_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model', 'pretrained_revision': None, 'chunk_size': 16, 'n_action_steps': 16, 'max_state_dim': 132, 'max_action_dim': 132, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.IDENTITY: 'IDENTITY'>}, 'base_model_path': 'nvidia/GR00T-N1.7-3B', 'action_decode_transform': None, 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'tune_vlln': True, 'tune_top_llm_layers': 0, 'num_inference_timesteps': None, 'rtc_ramp_rate': None, 'use_flash_attention': False, 'use_relative_actions': False, 'relative_exclude_joints': [], 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_steps': 6000, 'warmup_ratio': 0.05, 'use_bf16': True, 'model_params_fp32': True, 'image_size': [256, 256], 'tokenizer_assets_repo': None, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 32, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False, 'rkd_enabled': True, 'rkd_vae_checkpoint': '/home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84', 'rkd_student_pooling': 'attention', 'rkd_student_attention_hidden_dim': 512, 'rkd_student_attention_output_dim': 512, 'rkd_fm_loss_weight': 1.0, 'rkd_loss_weight': 1.0, 'rkd_distance_weight': 1.0, 'rkd_angle_weight': 2.0}, 'reward_model': None, 'output_dir': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K', 'job_name': 'INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_6K', 'resume': True, 'seed': 42, 'cudnn_deterministic': False, 'num_workers': 4, 'batch_size': 128, 'prefetch_factor': 4, 'persistent_workers': True, 'steps': 60000, 'env_eval_freq': 20000, 'log_freq': 200, 'eval_steps': 0, 'max_eval_samples': 0, 'tolerance_s': 0.0001, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 1.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 6000, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': True, 'recording': False, 'recording_repo_id': None, 'recording_private': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': 'a9vyia29', 'mode': None, 'add_tags': True}, 'peft': None, 'job': {'target': None, 'image': 'huggingface/lerobot-gpu:latest', 'timeout': '2d', 'detach': False, 'tags': []}, 'save_checkpoint_to_hub': False, 'sample_weighting': None, 'rename_map': {}, 'checkpoint_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000', '_wandb': {}}
9
+ 2026-07-21 18:21:04,217 INFO MainThread:172610 [wandb_init.py:init():814] starting backend
10
+ 2026-07-21 18:21:04,432 INFO MainThread:172610 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-07-21 18:21:04,885 INFO MainThread:172610 [wandb_init.py:init():834] backend started and connected
12
+ 2026-07-21 18:21:04,887 INFO MainThread:172610 [wandb_init.py:init():904] updated telemetry
13
+ 2026-07-21 18:21:04,891 INFO MainThread:172610 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-07-21 18:21:05,746 INFO MainThread:172610 [wandb_init.py:init():967] run resumed
15
+ 2026-07-21 18:21:05,747 INFO MainThread:172610 [wandb_init.py:init():972] starting run threads in backend
16
+ 2026-07-21 18:21:05,801 INFO MainThread:172610 [wandb_run.py:_console_start():2523] atexit reg
17
+ 2026-07-21 18:21:05,801 INFO MainThread:172610 [wandb_run.py:_redirect():2373] redirect: wrap_raw
18
+ 2026-07-21 18:21:05,801 INFO MainThread:172610 [wandb_run.py:_redirect():2442] Wrapping output streams.
19
+ 2026-07-21 18:21:05,801 INFO MainThread:172610 [wandb_run.py:_redirect():2465] Redirects installed.
20
+ 2026-07-21 18:21:05,803 INFO MainThread:172610 [wandb_init.py:init():1010] run started, returning control to user process
21
+ 2026-07-22 01:50:48,665 INFO wandb-AsyncioManager-main:172610 [service_client.py:_forward_responses():122] Reached EOF.
22
+ 2026-07-22 01:50:48,665 INFO wandb-AsyncioManager-main:172610 [mailbox.py:close():154] Closing mailbox, abandoning 2 handles.
23
+ 2026-07-22 01:50:48,666 ERROR wandb-AsyncioManager-main:172610 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
24
+ Traceback (most recent call last):
25
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
26
+ await fn()
27
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
28
+ await asyncio_compat.race(
29
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
30
+ async with open_task_group(race=True) as tg:
31
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
32
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/contextlib.py", line 217, in __aexit__
33
+ await anext(self.gen)
34
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
35
+ await task_group._wait_all(race=race, timeout=exit_timeout)
36
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
37
+ raise exc
38
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
39
+ result = await handle.wait_async(timeout=None)
40
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
41
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
42
+ response = await self._handle.wait_async(timeout=timeout)
43
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
44
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
45
+ raise HandleAbandonedError()
46
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260719_231652-r3cz38bm/files/output.log ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2026-07-19 23:16:54 db_utils.py:121 Logs will be synced with wandb.
2
+ INFO 2026-07-19 23:16:54 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/r3cz38bm
3
+ INFO 2026-07-19 23:16:54 ot_train.py:298 Creating dataset
4
+ INFO 2026-07-19 23:16:57 ot_train.py:332 Creating policy
5
+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 1916.18it/s]
6
+ `torch_dtype` is deprecated! Use `dtype` instead!
7
+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:00<00:00, 1414.61it/s]
8
+ INFO 2026-07-19 23:17:05 ot_train.py:405 Creating optimizer and scheduler
9
+ INFO 2026-07-19 23:17:06 ot_train.py:439 Output dir: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
10
+ INFO 2026-07-19 23:17:06 ot_train.py:446 cfg.steps=60000 (60K)
11
+ INFO 2026-07-19 23:17:06 ot_train.py:447 dataset.num_frames=218367 (218K)
12
+ INFO 2026-07-19 23:17:06 ot_train.py:448 dataset.num_episodes=4930
13
+ INFO 2026-07-19 23:17:06 ot_train.py:451 Effective batch size: 128 x 1 = 128
14
+ INFO 2026-07-19 23:17:06 ot_train.py:452 num_learnable_params=1622090881 (2B)
15
+ INFO 2026-07-19 23:17:06 ot_train.py:453 num_total_params=3145712033 (3B)
16
+ Training: 0%| | 0/60000 [00:00<?, ?step/s]INFO 2026-07-19 23:17:06 ot_train.py:604 Start offline training on a fixed dataset, with effective batch size: 128
17
+ Training: 0%| | 200/60000 [10:45<51:12:13, 3.08s/step]INFO 2026-07-19 23:27:52 ot_train.py:649 step:200 smpl:26K ep:578 epch:0.12 loss:1.234 grdn:0.482 lr:1.7e-06 updt_s:1.598 data_s:1.627 smp/s:40 mem_gb:52.89
18
+ Training: 1%| | 400/60000 [21:07<51:14:43, 3.10s/step]INFO 2026-07-19 23:38:13 ot_train.py:649 step:400 smpl:51K ep:1K epch:0.23 loss:0.864 grdn:0.955 lr:5.0e-06 updt_s:1.528 data_s:1.574 smp/s:41 mem_gb:52.95
19
+ Training: 1%| | 600/60000 [31:32<51:35:06, 3.13s/step]INFO 2026-07-19 23:48:38 ot_train.py:649 step:600 smpl:77K ep:2K epch:0.35 loss:0.339 grdn:1.616 lr:8.3e-06 updt_s:1.551 data_s:1.568 smp/s:41 mem_gb:52.95
20
+ Training: 1%|▏ | 800/60000 [41:54<51:29:41, 3.13s/step]INFO 2026-07-19 23:59:00 ot_train.py:649 step:800 smpl:102K ep:2K epch:0.47 loss:0.213 grdn:2.064 lr:1.2e-05 updt_s:1.538 data_s:1.569 smp/s:41 mem_gb:52.95
21
+ Training: 2%|▏ | 1000/60000 [52:24<52:34:34, 3.21s/step]INFO 2026-07-20 00:09:30 ot_train.py:649 step:1K smpl:128K ep:3K epch:0.59 loss:0.174 grdn:2.131 lr:1.5e-05 updt_s:1.572 data_s:1.570 smp/s:41 mem_gb:52.95
22
+ Training: 2%|▏ | 1200/60000 [1:02:59<50:50:36, 3.11s/step]INFO 2026-07-20 00:20:05 ot_train.py:649 step:1K smpl:154K ep:3K epch:0.70 loss:0.152 grdn:1.998 lr:1.8e-05 updt_s:1.595 data_s:1.577 smp/s:40 mem_gb:52.88
23
+ Training: 2%|▏ | 1400/60000 [1:13:28<57:34:42, 3.54s/step]INFO 2026-07-20 00:30:34 ot_train.py:649 step:1K smpl:179K ep:4K epch:0.82 loss:0.137 grdn:1.849 lr:2.2e-05 updt_s:1.584 data_s:1.555 smp/s:41 mem_gb:52.98
24
+ Training: 3%|β–Ž | 1600/60000 [1:23:49<49:27:36, 3.05s/step]INFO 2026-07-20 00:40:56 ot_train.py:649 step:2K smpl:205K ep:5K epch:0.94 loss:0.125 grdn:1.681 lr:2.5e-05 updt_s:1.580 data_s:1.522 smp/s:41 mem_gb:52.98
25
+ Training: 3%|β–Ž | 1800/60000 [1:34:19<51:06:22, 3.16s/step]INFO 2026-07-20 00:51:25 ot_train.py:649 step:2K smpl:230K ep:5K epch:1.06 loss:0.117 grdn:1.544 lr:2.8e-05 updt_s:1.630 data_s:1.510 smp/s:41 mem_gb:52.98
26
+ Training: 3%|β–Ž | 2000/60000 [1:45:03<51:09:37, 3.18s/step]INFO 2026-07-20 01:02:09 ot_train.py:649 step:2K smpl:256K ep:6K epch:1.17 loss:0.111 grdn:1.381 lr:3.2e-05 updt_s:1.697 data_s:1.517 smp/s:40 mem_gb:52.98
27
+ Training: 4%|β–Ž | 2200/60000 [1:53:43<38:04:04, 2.37s/step]INFO 2026-07-20 01:10:49 ot_train.py:649 step:2K smpl:282K ep:6K epch:1.29 loss:0.105 grdn:1.281 lr:3.5e-05 updt_s:1.469 data_s:1.126 smp/s:49 mem_gb:52.98
28
+ Training: 4%|▍ | 2400/60000 [2:02:23<43:21:45, 2.71s/step]INFO 2026-07-20 01:19:29 ot_train.py:649 step:2K smpl:307K ep:7K epch:1.41 loss:0.100 grdn:1.131 lr:3.8e-05 updt_s:1.477 data_s:1.121 smp/s:49 mem_gb:52.90
29
+ Training: 4%|▍ | 2600/60000 [2:11:15<38:16:08, 2.40s/step]INFO 2026-07-20 01:28:21 ot_train.py:649 step:3K smpl:333K ep:8K epch:1.52 loss:0.096 grdn:1.003 lr:4.2e-05 updt_s:1.479 data_s:1.173 smp/s:48 mem_gb:52.98
30
+ Training: 5%|▍ | 2800/60000 [2:19:54<44:20:55, 2.79s/step]INFO 2026-07-20 01:37:00 ot_train.py:649 step:3K smpl:358K ep:8K epch:1.64 loss:0.091 grdn:0.930 lr:4.5e-05 updt_s:1.492 data_s:1.100 smp/s:49 mem_gb:52.98
31
+ Training: 5%|β–Œ | 3000/60000 [2:29:51<47:46:01, 3.02s/step]INFO 2026-07-20 01:46:57 ot_train.py:649 step:3K smpl:384K ep:9K epch:1.76 loss:0.087 grdn:0.857 lr:4.8e-05 updt_s:1.649 data_s:1.332 smp/s:43 mem_gb:52.98
32
+ Training: 5%|β–Œ | 3200/60000 [2:40:00<48:00:25, 3.04s/step]INFO 2026-07-20 01:57:06 ot_train.py:649 step:3K smpl:410K ep:9K epch:1.88 loss:0.083 grdn:0.783 lr:5.2e-05 updt_s:1.654 data_s:1.384 smp/s:42 mem_gb:52.98
33
+ Training: 6%|β–Œ | 3400/60000 [2:49:23<40:43:52, 2.59s/step]INFO 2026-07-20 02:06:29 ot_train.py:649 step:3K smpl:435K ep:10K epch:1.99 loss:0.080 grdn:0.736 lr:5.5e-05 updt_s:1.547 data_s:1.261 smp/s:46 mem_gb:52.90
34
+ Training: 6%|β–Œ | 3600/60000 [2:57:54<37:20:07, 2.38s/step]INFO 2026-07-20 02:15:01 ot_train.py:649 step:4K smpl:461K ep:10K epch:2.11 loss:0.076 grdn:0.687 lr:5.8e-05 updt_s:1.445 data_s:1.109 smp/s:50 mem_gb:52.98
35
+ Training: 6%|β–‹ | 3800/60000 [3:06:34<41:16:12, 2.64s/step]INFO 2026-07-20 02:23:40 ot_train.py:649 step:4K smpl:486K ep:11K epch:2.23 loss:0.075 grdn:0.647 lr:6.2e-05 updt_s:1.470 data_s:1.121 smp/s:49 mem_gb:52.98
36
+ Training: 7%|β–‹ | 4000/60000 [3:16:08<42:04:54, 2.71s/step]INFO 2026-07-20 02:33:14 ot_train.py:649 step:4K smpl:512K ep:12K epch:2.34 loss:0.072 grdn:0.613 lr:6.5e-05 updt_s:1.586 data_s:1.280 smp/s:45 mem_gb:52.98
37
+ Training: 7%|β–‹ | 4200/60000 [3:26:20<46:24:35, 2.99s/step]INFO 2026-07-20 02:43:26 ot_train.py:649 step:4K smpl:538K ep:12K epch:2.46 loss:0.071 grdn:0.570 lr:6.8e-05 updt_s:1.632 data_s:1.422 smp/s:42 mem_gb:52.98
38
+ Training: 7%|β–‹ | 4400/60000 [3:36:40<44:17:07, 2.87s/step]INFO 2026-07-20 02:53:46 ot_train.py:649 step:4K smpl:563K ep:13K epch:2.58 loss:0.069 grdn:0.554 lr:7.2e-05 updt_s:1.663 data_s:1.432 smp/s:41 mem_gb:52.98
39
+ Training: 8%|β–Š | 4600/60000 [3:47:05<50:38:04, 3.29s/step]INFO 2026-07-20 03:04:11 ot_train.py:649 step:5K smpl:589K ep:13K epch:2.70 loss:0.067 grdn:0.521 lr:7.5e-05 updt_s:1.686 data_s:1.435 smp/s:41 mem_gb:52.90
40
+ Training: 8%|β–Š | 4800/60000 [3:57:09<46:17:40, 3.02s/step]INFO 2026-07-20 03:14:15 ot_train.py:649 step:5K smpl:614K ep:14K epch:2.81 loss:0.063 grdn:0.491 lr:7.8e-05 updt_s:1.556 data_s:1.460 smp/s:42 mem_gb:52.98
41
+ Training: 8%|β–Š | 5000/60000 [4:07:19<46:04:54, 3.02s/step]INFO 2026-07-20 03:24:25 ot_train.py:649 step:5K smpl:640K ep:14K epch:2.93 loss:0.062 grdn:0.478 lr:8.2e-05 updt_s:1.644 data_s:1.400 smp/s:42 mem_gb:52.98
42
+ Training: 9%|β–Š | 5200/60000 [4:17:33<47:23:46, 3.11s/step]INFO 2026-07-20 03:34:39 ot_train.py:649 step:5K smpl:666K ep:15K epch:3.05 loss:0.062 grdn:0.467 lr:8.5e-05 updt_s:1.605 data_s:1.458 smp/s:42 mem_gb:52.98
43
+ Training: 9%|β–‰ | 5400/60000 [4:27:51<47:19:42, 3.12s/step]INFO 2026-07-20 03:44:57 ot_train.py:649 step:5K smpl:691K ep:16K epch:3.17 loss:0.059 grdn:0.422 lr:8.8e-05 updt_s:1.567 data_s:1.518 smp/s:41 mem_gb:52.98
44
+ Training: 9%|β–‰ | 5600/60000 [4:38:07<46:33:04, 3.08s/step]INFO 2026-07-20 03:55:14 ot_train.py:649 step:6K smpl:717K ep:16K epch:3.28 loss:0.058 grdn:0.425 lr:9.2e-05 updt_s:1.552 data_s:1.524 smp/s:42 mem_gb:52.98
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+ Training: 10%|β–‰ | 5800/60000 [4:48:34<47:47:02, 3.17s/step]INFO 2026-07-20 04:05:40 ot_train.py:649 step:6K smpl:742K ep:17K epch:3.40 loss:0.057 grdn:0.411 lr:9.5e-05 updt_s:1.633 data_s:1.496 smp/s:41 mem_gb:52.90
46
+ Training: 10%|β–ˆ | 6000/60000 [4:58:34<43:53:04, 2.93s/step]INFO 2026-07-20 04:15:40 ot_train.py:649 step:6K smpl:768K ep:17K epch:3.52 loss:0.057 grdn:0.406 lr:9.8e-05 updt_s:1.616 data_s:1.378 smp/s:43 mem_gb:52.98
47
+ INFO 2026-07-20 04:15:40 ot_train.py:103 INSIGHT phase transition: index=1 name=fm_only range=[6000,60000) trainable_params=1620515968
48
+ Training: 10%|β–ˆ | 6200/60000 [5:08:37<44:17:51, 2.96s/step]INFO 2026-07-20 04:25:43 ot_train.py:649 step:6K smpl:794K ep:18K epch:3.63 loss:0.056 grdn:0.394 lr:1.0e-04 updt_s:1.619 data_s:1.389 smp/s:43 mem_gb:52.85
49
+ Training: 11%|β–ˆ | 6400/60000 [5:18:50<46:24:23, 3.12s/step]INFO 2026-07-20 04:35:57 ot_train.py:649 step:6K smpl:819K ep:18K epch:3.75 loss:0.054 grdn:0.365 lr:1.0e-04 updt_s:1.593 data_s:1.471 smp/s:42 mem_gb:52.85
50
+ Training: 11%|β–ˆ | 6600/60000 [5:29:04<43:51:15, 2.96s/step]INFO 2026-07-20 04:46:10 ot_train.py:649 step:7K smpl:845K ep:19K epch:3.87 loss:0.053 grdn:0.353 lr:1.0e-04 updt_s:1.591 data_s:1.471 smp/s:42 mem_gb:52.85
51
+ Training: 11%|β–ˆβ– | 6800/60000 [5:38:56<42:00:25, 2.84s/step]INFO 2026-07-20 04:56:02 ot_train.py:649 step:7K smpl:870K ep:20K epch:3.99 loss:0.053 grdn:0.355 lr:1.0e-04 updt_s:1.593 data_s:1.361 smp/s:43 mem_gb:52.77
52
+ Training: 12%|β–ˆβ– | 7000/60000 [5:48:55<50:48:28, 3.45s/step]INFO 2026-07-20 05:06:01 ot_train.py:649 step:7K smpl:896K ep:20K epch:4.10 loss:0.052 grdn:0.350 lr:1.0e-04 updt_s:1.622 data_s:1.369 smp/s:43 mem_gb:52.85
53
+ Training: 12%|β–ˆβ– | 7200/60000 [5:59:05<45:11:51, 3.08s/step]INFO 2026-07-20 05:16:11 ot_train.py:649 step:7K smpl:922K ep:21K epch:4.22 loss:0.051 grdn:0.337 lr:1.0e-04 updt_s:1.595 data_s:1.448 smp/s:42 mem_gb:52.85
54
+ Training: 12%|β–ˆβ– | 7400/60000 [6:09:24<44:52:39, 3.07s/step]INFO 2026-07-20 05:26:30 ot_train.py:649 step:7K smpl:947K ep:21K epch:4.34 loss:0.053 grdn:0.349 lr:1.0e-04 updt_s:1.596 data_s:1.495 smp/s:41 mem_gb:52.85
55
+ Training: 13%|β–ˆβ–Ž | 7600/60000 [6:19:42<44:39:39, 3.07s/step]INFO 2026-07-20 05:36:48 ot_train.py:649 step:8K smpl:973K ep:22K epch:4.45 loss:0.051 grdn:0.331 lr:1.0e-04 updt_s:1.563 data_s:1.520 smp/s:42 mem_gb:52.85
56
+ Training: 13%|β–ˆβ–Ž | 7800/60000 [6:30:05<44:56:56, 3.10s/step]INFO 2026-07-20 05:47:11 ot_train.py:649 step:8K smpl:998K ep:23K epch:4.57 loss:0.051 grdn:0.317 lr:1.0e-04 updt_s:1.574 data_s:1.535 smp/s:41 mem_gb:52.85
57
+ Training: 13%|β–ˆβ–Ž | 8000/60000 [6:40:31<45:05:53, 3.12s/step]INFO 2026-07-20 05:57:37 ot_train.py:649 step:8K smpl:1M ep:23K epch:4.69 loss:0.048 grdn:0.315 lr:1.0e-04 updt_s:1.589 data_s:1.534 smp/s:41 mem_gb:52.77
58
+ Training: 14%|β–ˆβ–Ž | 8200/60000 [6:50:49<43:51:57, 3.05s/step]INFO 2026-07-20 06:07:56 ot_train.py:649 step:8K smpl:1M ep:24K epch:4.81 loss:0.047 grdn:0.299 lr:1.0e-04 updt_s:1.551 data_s:1.536 smp/s:41 mem_gb:52.85
59
+ Training: 14%|β–ˆβ– | 8400/60000 [7:01:04<42:49:30, 2.99s/step]INFO 2026-07-20 06:18:10 ot_train.py:649 step:8K smpl:1M ep:24K epch:4.92 loss:0.049 grdn:0.311 lr:1.0e-04 updt_s:1.594 data_s:1.471 smp/s:42 mem_gb:52.85
60
+ Training: 14%|β–ˆβ– | 8600/60000 [7:11:17<44:53:01, 3.14s/step]INFO 2026-07-20 06:28:23 ot_train.py:649 step:9K smpl:1M ep:25K epch:5.04 loss:0.048 grdn:0.304 lr:9.9e-05 updt_s:1.620 data_s:1.440 smp/s:42 mem_gb:52.85
61
+ Training: 15%|β–ˆβ– | 8800/60000 [7:21:26<42:24:02, 2.98s/step]INFO 2026-07-20 06:38:32 ot_train.py:649 step:9K smpl:1M ep:25K epch:5.16 loss:0.048 grdn:0.307 lr:9.9e-05 updt_s:1.563 data_s:1.475 smp/s:42 mem_gb:52.85
62
+ Training: 15%|β–ˆβ–Œ | 9000/60000 [7:31:49<42:37:53, 3.01s/step]INFO 2026-07-20 06:48:55 ot_train.py:649 step:9K smpl:1M ep:26K epch:5.28 loss:0.048 grdn:0.296 lr:9.9e-05 updt_s:1.641 data_s:1.471 smp/s:41 mem_gb:52.85
63
+ Training: 15%|β–ˆβ–Œ | 9200/60000 [7:42:06<44:57:35, 3.19s/step]INFO 2026-07-20 06:59:12 ot_train.py:649 step:9K smpl:1M ep:27K epch:5.39 loss:0.046 grdn:0.285 lr:9.9e-05 updt_s:1.548 data_s:1.533 smp/s:42 mem_gb:52.77
64
+ Training: 16%|β–ˆβ–Œ | 9400/60000 [7:52:23<42:01:18, 2.99s/step]INFO 2026-07-20 07:09:29 ot_train.py:649 step:9K smpl:1M ep:27K epch:5.51 loss:0.047 grdn:0.296 lr:9.9e-05 updt_s:1.554 data_s:1.526 smp/s:42 mem_gb:52.85
65
+ Training: 16%|β–ˆβ–Œ | 9600/60000 [8:02:36<42:31:57, 3.04s/step]INFO 2026-07-20 07:19:42 ot_train.py:649 step:10K smpl:1M ep:28K epch:5.63 loss:0.046 grdn:0.285 lr:9.9e-05 updt_s:1.555 data_s:1.504 smp/s:42 mem_gb:52.85
66
+ Training: 16%|β–ˆβ–‹ | 9800/60000 [8:12:54<42:56:57, 3.08s/step]INFO 2026-07-20 07:30:01 ot_train.py:649 step:10K smpl:1M ep:28K epch:5.74 loss:0.045 grdn:0.280 lr:9.9e-05 updt_s:1.558 data_s:1.528 smp/s:41 mem_gb:52.85
67
+ Training: 17%|β–ˆβ–‹ | 10000/60000 [8:23:12<43:01:24, 3.10s/step]INFO 2026-07-20 07:40:18 ot_train.py:649 step:10K smpl:1M ep:29K epch:5.86 loss:0.045 grdn:0.268 lr:9.9e-05 updt_s:1.561 data_s:1.519 smp/s:42 mem_gb:52.85
68
+ Training: 17%|β–ˆβ–‹ | 10200/60000 [8:33:31<43:15:42, 3.13s/step]INFO 2026-07-20 07:50:37 ot_train.py:649 step:10K smpl:1M ep:29K epch:5.98 loss:0.045 grdn:0.273 lr:9.9e-05 updt_s:1.561 data_s:1.528 smp/s:41 mem_gb:52.77
69
+ Training: 17%|β–ˆβ–‹ | 10400/60000 [8:44:01<44:05:35, 3.20s/step]INFO 2026-07-20 08:01:07 ot_train.py:649 step:10K smpl:1M ep:30K epch:6.10 loss:0.044 grdn:0.263 lr:9.8e-05 updt_s:1.676 data_s:1.468 smp/s:41 mem_gb:52.85
70
+ Training: 18%|β–ˆβ–Š | 10600/60000 [8:54:22<51:25:41, 3.75s/step]INFO 2026-07-20 08:11:29 ot_train.py:649 step:11K smpl:1M ep:31K epch:6.21 loss:0.043 grdn:0.262 lr:9.8e-05 updt_s:1.572 data_s:1.531 smp/s:41 mem_gb:52.85
71
+ Training: 18%|β–ˆβ–Š | 10800/60000 [9:04:42<42:45:30, 3.13s/step]INFO 2026-07-20 08:21:48 ot_train.py:649 step:11K smpl:1M ep:31K epch:6.33 loss:0.046 grdn:0.288 lr:9.8e-05 updt_s:1.595 data_s:1.497 smp/s:41 mem_gb:52.85
72
+ Training: 18%|β–ˆβ–Š | 11000/60000 [9:14:58<41:58:31, 3.08s/step]INFO 2026-07-20 08:32:04 ot_train.py:649 step:11K smpl:1M ep:32K epch:6.45 loss:0.044 grdn:0.270 lr:9.8e-05 updt_s:1.563 data_s:1.513 smp/s:42 mem_gb:52.85
73
+ Training: 19%|β–ˆβ–Š | 11200/60000 [9:25:12<41:37:53, 3.07s/step]INFO 2026-07-20 08:42:18 ot_train.py:649 step:11K smpl:1M ep:32K epch:6.57 loss:0.043 grdn:0.249 lr:9.8e-05 updt_s:1.565 data_s:1.496 smp/s:42 mem_gb:52.85
74
+ Training: 19%|β–ˆβ–‰ | 11400/60000 [9:35:29<48:50:36, 3.62s/step]INFO 2026-07-20 08:52:35 ot_train.py:649 step:11K smpl:1M ep:33K epch:6.68 loss:0.042 grdn:0.258 lr:9.8e-05 updt_s:1.580 data_s:1.501 smp/s:42 mem_gb:52.77
75
+ Training: 19%|β–ˆβ–‰ | 11600/60000 [9:45:44<42:02:51, 3.13s/step]INFO 2026-07-20 09:02:51 ot_train.py:649 step:12K smpl:1M ep:34K epch:6.80 loss:0.042 grdn:0.256 lr:9.7e-05 updt_s:1.573 data_s:1.500 smp/s:42 mem_gb:52.85
76
+ Training: 20%|β–ˆβ–‰ | 11800/60000 [9:56:00<42:15:11, 3.16s/step]INFO 2026-07-20 09:13:06 ot_train.py:649 step:12K smpl:2M ep:34K epch:6.92 loss:0.041 grdn:0.255 lr:9.7e-05 updt_s:1.580 data_s:1.492 smp/s:42 mem_gb:52.85
77
+ Training: 20%|β–ˆβ–ˆ | 12000/60000 [10:06:17<43:57:32, 3.30s/step]INFO 2026-07-20 09:23:23 ot_train.py:649 step:12K smpl:2M ep:35K epch:7.03 loss:0.043 grdn:0.272 lr:9.7e-05 updt_s:1.597 data_s:1.484 smp/s:42 mem_gb:52.85
78
+ Training: 20%|β–ˆβ–ˆ | 12200/60000 [10:16:30<39:03:32, 2.94s/step]INFO 2026-07-20 09:33:36 ot_train.py:649 step:12K smpl:2M ep:35K epch:7.15 loss:0.041 grdn:0.246 lr:9.7e-05 updt_s:1.585 data_s:1.473 smp/s:42 mem_gb:52.85
79
+ Training: 21%|β–ˆβ–ˆ | 12400/60000 [10:26:39<38:57:14, 2.95s/step]INFO 2026-07-20 09:43:45 ot_train.py:649 step:12K smpl:2M ep:36K epch:7.27 loss:0.040 grdn:0.249 lr:9.7e-05 updt_s:1.549 data_s:1.490 smp/s:42 mem_gb:52.85
80
+ Training: 21%|β–ˆβ–ˆ | 12600/60000 [10:36:48<41:55:23, 3.18s/step]INFO 2026-07-20 09:53:54 ot_train.py:649 step:13K smpl:2M ep:36K epch:7.39 loss:0.040 grdn:0.253 lr:9.6e-05 updt_s:1.586 data_s:1.453 smp/s:42 mem_gb:52.77
81
+ Training: 21%|β–ˆβ–ˆβ– | 12800/60000 [10:47:04<43:42:04, 3.33s/step]INFO 2026-07-20 10:04:11 ot_train.py:649 step:13K smpl:2M ep:37K epch:7.50 loss:0.040 grdn:0.245 lr:9.6e-05 updt_s:1.570 data_s:1.509 smp/s:42 mem_gb:52.85
82
+ Training: 22%|β–ˆβ–ˆβ– | 13000/60000 [10:57:22<38:37:12, 2.96s/step]INFO 2026-07-20 10:14:29 ot_train.py:649 step:13K smpl:2M ep:38K epch:7.62 loss:0.042 grdn:0.262 lr:9.6e-05 updt_s:1.585 data_s:1.500 smp/s:41 mem_gb:52.85
83
+ Training: 22%|β–ˆβ–ˆβ– | 13200/60000 [11:07:30<39:13:51, 3.02s/step]INFO 2026-07-20 10:24:37 ot_train.py:649 step:13K smpl:2M ep:38K epch:7.74 loss:0.039 grdn:0.238 lr:9.6e-05 updt_s:1.603 data_s:1.431 smp/s:42 mem_gb:52.85
84
+ Training: 22%|β–ˆβ–ˆβ– | 13400/60000 [11:17:45<38:29:35, 2.97s/step]INFO 2026-07-20 10:34:51 ot_train.py:649 step:13K smpl:2M ep:39K epch:7.85 loss:0.038 grdn:0.234 lr:9.6e-05 updt_s:1.637 data_s:1.428 smp/s:42 mem_gb:52.85
85
+ Training: 23%|β–ˆβ–ˆβ–Ž | 13600/60000 [11:27:53<39:15:36, 3.05s/step]INFO 2026-07-20 10:45:00 ot_train.py:649 step:14K smpl:2M ep:39K epch:7.97 loss:0.039 grdn:0.237 lr:9.5e-05 updt_s:1.578 data_s:1.461 smp/s:42 mem_gb:52.77
86
+ Training: 23%|β–ˆβ–ˆβ–Ž | 13800/60000 [11:37:18<33:29:10, 2.61s/step]INFO 2026-07-20 10:54:24 ot_train.py:649 step:14K smpl:2M ep:40K epch:8.09 loss:0.037 grdn:0.249 lr:9.5e-05 updt_s:1.498 data_s:1.320 smp/s:45 mem_gb:52.85
87
+ Training: 23%|β–ˆβ–ˆβ–Ž | 14000/60000 [11:46:00<30:56:19, 2.42s/step]INFO 2026-07-20 11:03:06 ot_train.py:649 step:14K smpl:2M ep:40K epch:8.21 loss:0.038 grdn:0.243 lr:9.5e-05 updt_s:1.390 data_s:1.212 smp/s:49 mem_gb:52.85
88
+ Training: 24%|β–ˆβ–ˆβ–Ž | 14200/60000 [11:54:19<32:22:53, 2.55s/step]INFO 2026-07-20 11:11:25 ot_train.py:649 step:14K smpl:2M ep:41K epch:8.32 loss:0.038 grdn:0.231 lr:9.5e-05 updt_s:1.381 data_s:1.113 smp/s:51 mem_gb:52.85
89
+ Training: 24%|β–ˆβ–ˆβ– | 14400/60000 [12:03:02<31:47:42, 2.51s/step]INFO 2026-07-20 11:20:08 ot_train.py:649 step:14K smpl:2M ep:42K epch:8.44 loss:0.038 grdn:0.231 lr:9.4e-05 updt_s:1.484 data_s:1.124 smp/s:49 mem_gb:52.85
90
+ Training: 24%|β–ˆβ–ˆβ– | 14600/60000 [12:12:34<37:02:05, 2.94s/step]INFO 2026-07-20 11:29:41 ot_train.py:649 step:15K smpl:2M ep:42K epch:8.56 loss:0.038 grdn:0.235 lr:9.4e-05 updt_s:1.743 data_s:1.116 smp/s:45 mem_gb:52.85
91
+ Training: 25%|β–ˆβ–ˆβ– | 14800/60000 [12:22:10<35:21:58, 2.82s/step]INFO 2026-07-20 11:39:17 ot_train.py:649 step:15K smpl:2M ep:43K epch:8.68 loss:0.037 grdn:0.237 lr:9.4e-05 updt_s:1.734 data_s:1.142 smp/s:45 mem_gb:52.77
92
+ Training: 25%|β–ˆβ–ˆβ–Œ | 15000/60000 [12:32:15<38:06:15, 3.05s/step]INFO 2026-07-20 11:49:21 ot_train.py:649 step:15K smpl:2M ep:43K epch:8.79 loss:0.036 grdn:0.226 lr:9.3e-05 updt_s:1.662 data_s:1.353 smp/s:42 mem_gb:52.85
93
+ Training: 25%|β–ˆβ–ˆβ–Œ | 15200/60000 [12:42:31<37:43:50, 3.03s/step]INFO 2026-07-20 11:59:37 ot_train.py:649 step:15K smpl:2M ep:44K epch:8.91 loss:0.039 grdn:0.253 lr:9.3e-05 updt_s:1.539 data_s:1.539 smp/s:42 mem_gb:52.85
94
+ Training: 26%|β–ˆβ–ˆβ–Œ | 15400/60000 [12:52:37<35:00:11, 2.83s/step]INFO 2026-07-20 12:09:43 ot_train.py:649 step:15K smpl:2M ep:45K epch:9.03 loss:0.037 grdn:0.230 lr:9.3e-05 updt_s:1.652 data_s:1.372 smp/s:42 mem_gb:52.85
95
+ Training: 26%|β–ˆβ–ˆβ–Œ | 15600/60000 [13:02:19<35:29:53, 2.88s/step]INFO 2026-07-20 12:19:25 ot_train.py:649 step:16K smpl:2M ep:45K epch:9.14 loss:0.036 grdn:0.228 lr:9.3e-05 updt_s:1.772 data_s:1.134 smp/s:44 mem_gb:52.85
96
+ Training: 26%|β–ˆβ–ˆβ–‹ | 15800/60000 [13:12:24<38:56:14, 3.17s/step]INFO 2026-07-20 12:29:30 ot_train.py:649 step:16K smpl:2M ep:46K epch:9.26 loss:0.036 grdn:0.222 lr:9.2e-05 updt_s:1.741 data_s:1.276 smp/s:42 mem_gb:52.85
97
+ Training: 27%|β–ˆβ–ˆβ–‹ | 16000/60000 [13:22:47<38:19:38, 3.14s/step]INFO 2026-07-20 12:39:53 ot_train.py:649 step:16K smpl:2M ep:46K epch:9.38 loss:0.034 grdn:0.222 lr:9.2e-05 updt_s:1.559 data_s:1.552 smp/s:41 mem_gb:52.77
98
+ Training: 27%|β–ˆβ–ˆβ–‹ | 16200/60000 [13:33:13<37:38:28, 3.09s/step]INFO 2026-07-20 12:50:19 ot_train.py:649 step:16K smpl:2M ep:47K epch:9.50 loss:0.035 grdn:0.232 lr:9.2e-05 updt_s:1.601 data_s:1.521 smp/s:41 mem_gb:52.85
99
+ Training: 27%|β–ˆβ–ˆβ–‹ | 16400/60000 [13:43:31<36:24:42, 3.01s/step]INFO 2026-07-20 13:00:37 ot_train.py:649 step:16K smpl:2M ep:47K epch:9.61 loss:0.034 grdn:0.221 lr:9.1e-05 updt_s:1.595 data_s:1.493 smp/s:41 mem_gb:52.85
100
+ Training: 28%|β–ˆβ–ˆβ–Š | 16600/60000 [13:53:48<37:43:30, 3.13s/step]INFO 2026-07-20 13:10:54 ot_train.py:649 step:17K smpl:2M ep:48K epch:9.73 loss:0.035 grdn:0.222 lr:9.1e-05 updt_s:1.585 data_s:1.494 smp/s:42 mem_gb:52.85
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+ Training: 28%|β–ˆβ–ˆβ–Š | 16800/60000 [14:03:58<35:16:29, 2.94s/step]INFO 2026-07-20 13:21:04 ot_train.py:649 step:17K smpl:2M ep:49K epch:9.85 loss:0.034 grdn:0.220 lr:9.1e-05 updt_s:1.573 data_s:1.470 smp/s:42 mem_gb:52.85
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+ Training: 28%|β–ˆβ–ˆβ–Š | 17000/60000 [14:14:06<41:59:11, 3.52s/step]INFO 2026-07-20 13:31:12 ot_train.py:649 step:17K smpl:2M ep:49K epch:9.96 loss:0.034 grdn:0.220 lr:9.0e-05 updt_s:1.575 data_s:1.460 smp/s:42 mem_gb:52.77
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+ Training: 29%|β–ˆβ–ˆβ–Š | 17200/60000 [14:24:44<36:58:54, 3.11s/step]INFO 2026-07-20 13:41:50 ot_train.py:649 step:17K smpl:2M ep:50K epch:10.08 loss:0.034 grdn:0.229 lr:9.0e-05 updt_s:1.698 data_s:1.486 smp/s:40 mem_gb:52.85
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+ Training: 29%|β–ˆβ–ˆβ–‰ | 17400/60000 [14:35:03<36:26:06, 3.08s/step]INFO 2026-07-20 13:52:09 ot_train.py:649 step:17K smpl:2M ep:50K epch:10.20 loss:0.036 grdn:0.244 lr:9.0e-05 updt_s:1.596 data_s:1.491 smp/s:41 mem_gb:52.85
105
+ Training: 29%|β–ˆβ–ˆβ–‰ | 17600/60000 [14:45:11<34:53:04, 2.96s/step]INFO 2026-07-20 14:02:17 ot_train.py:649 step:18K smpl:2M ep:51K epch:10.32 loss:0.033 grdn:0.215 lr:8.9e-05 updt_s:1.587 data_s:1.447 smp/s:42 mem_gb:52.85
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+ Training: 30%|β–ˆβ–ˆβ–‰ | 17800/60000 [14:55:26<36:44:43, 3.13s/step]INFO 2026-07-20 14:12:32 ot_train.py:649 step:18K smpl:2M ep:51K epch:10.43 loss:0.033 grdn:0.225 lr:8.9e-05 updt_s:1.568 data_s:1.501 smp/s:42 mem_gb:52.85
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+ Training: 30%|β–ˆβ–ˆβ–ˆ | 18000/60000 [15:05:34<35:26:43, 3.04s/step]INFO 2026-07-20 14:22:41 ot_train.py:649 step:18K smpl:2M ep:52K epch:10.55 loss:0.033 grdn:0.220 lr:8.8e-05 updt_s:1.557 data_s:1.482 smp/s:42 mem_gb:52.85
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+ Training: 30%|β–ˆβ–ˆβ–ˆ | 18200/60000 [15:15:43<34:55:40, 3.01s/step]INFO 2026-07-20 14:32:49 ot_train.py:649 step:18K smpl:2M ep:53K epch:10.67 loss:0.033 grdn:0.218 lr:8.8e-05 updt_s:1.618 data_s:1.419 smp/s:42 mem_gb:52.77
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+ Training: 31%|β–ˆβ–ˆβ–ˆ | 18400/60000 [15:25:31<32:51:26, 2.84s/step]INFO 2026-07-20 14:42:37 ot_train.py:649 step:18K smpl:2M ep:53K epch:10.79 loss:0.032 grdn:0.221 lr:8.8e-05 updt_s:1.642 data_s:1.292 smp/s:44 mem_gb:52.85
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+ Training: 31%|β–ˆβ–ˆβ–ˆ | 18600/60000 [15:34:13<28:40:08, 2.49s/step]INFO 2026-07-20 14:51:20 ot_train.py:649 step:19K smpl:2M ep:54K epch:10.90 loss:0.032 grdn:0.214 lr:8.7e-05 updt_s:1.485 data_s:1.122 smp/s:49 mem_gb:52.85
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+ Training: 31%|β–ˆβ–ˆβ–ˆβ– | 18800/60000 [15:42:30<29:13:11, 2.55s/step]INFO 2026-07-20 14:59:36 ot_train.py:649 step:19K smpl:2M ep:54K epch:11.02 loss:0.032 grdn:0.217 lr:8.7e-05 updt_s:1.376 data_s:1.104 smp/s:52 mem_gb:52.85
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+ Training: 32%|β–ˆβ–ˆβ–ˆβ– | 19000/60000 [15:50:48<33:27:55, 2.94s/step]INFO 2026-07-20 15:07:55 ot_train.py:649 step:19K smpl:2M ep:55K epch:11.14 loss:0.034 grdn:0.230 lr:8.7e-05 updt_s:1.388 data_s:1.098 smp/s:51 mem_gb:52.85
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+ Training: 32%|β–ˆβ–ˆβ–ˆβ– | 19200/60000 [16:01:02<28:54:33, 2.55s/step]INFO 2026-07-20 15:18:08 ot_train.py:649 step:19K smpl:2M ep:55K epch:11.25 loss:0.032 grdn:0.221 lr:8.6e-05 updt_s:1.639 data_s:1.425 smp/s:42 mem_gb:52.77
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+ Training: 32%|β–ˆβ–ˆβ–ˆβ– | 19400/60000 [16:11:52<32:30:48, 2.88s/step]INFO 2026-07-20 15:28:58 ot_train.py:649 step:19K smpl:2M ep:56K epch:11.37 loss:0.030 grdn:0.214 lr:8.6e-05 updt_s:1.719 data_s:1.524 smp/s:39 mem_gb:52.85
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+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 19600/60000 [16:22:19<34:03:07, 3.03s/step]INFO 2026-07-20 15:39:25 ot_train.py:649 step:20K smpl:3M ep:57K epch:11.49 loss:0.030 grdn:0.209 lr:8.5e-05 updt_s:1.657 data_s:1.476 smp/s:41 mem_gb:52.85
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+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 19800/60000 [16:32:23<33:38:43, 3.01s/step]INFO 2026-07-20 15:49:29 ot_train.py:649 step:20K smpl:3M ep:57K epch:11.61 loss:0.029 grdn:0.206 lr:8.5e-05 updt_s:1.635 data_s:1.376 smp/s:43 mem_gb:52.85
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+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 20000/60000 [16:42:04<33:44:44, 3.04s/step]INFO 2026-07-20 15:59:10 ot_train.py:649 step:20K smpl:3M ep:58K epch:11.72 loss:0.030 grdn:0.205 lr:8.5e-05 updt_s:1.585 data_s:1.317 smp/s:44 mem_gb:52.85
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+ Training: 34%|β–ˆβ–ˆβ–ˆβ–Ž | 20200/60000 [16:52:04<33:28:39, 3.03s/step]INFO 2026-07-20 16:09:10 ot_train.py:649 step:20K smpl:3M ep:58K epch:11.84 loss:0.030 grdn:0.217 lr:8.4e-05 updt_s:1.610 data_s:1.383 smp/s:43 mem_gb:52.85
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+ Training: 34%|β–ˆβ–ˆβ–ˆβ– | 20400/60000 [17:02:06<33:10:59, 3.02s/step]INFO 2026-07-20 16:19:12 ot_train.py:649 step:20K smpl:3M ep:59K epch:11.96 loss:0.030 grdn:0.212 lr:8.4e-05 updt_s:1.629 data_s:1.374 smp/s:43 mem_gb:52.77
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+ Training: 34%|β–ˆβ–ˆβ–ˆβ– | 20600/60000 [17:12:31<34:30:49, 3.15s/step]INFO 2026-07-20 16:29:38 ot_train.py:649 step:21K smpl:3M ep:60K epch:12.08 loss:0.029 grdn:0.211 lr:8.3e-05 updt_s:1.677 data_s:1.446 smp/s:41 mem_gb:52.85
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+ Training: 35%|β–ˆβ–ˆβ–ˆβ– | 20800/60000 [17:22:42<31:54:22, 2.93s/step]INFO 2026-07-20 16:39:48 ot_train.py:649 step:21K smpl:3M ep:60K epch:12.19 loss:0.029 grdn:0.205 lr:8.3e-05 updt_s:1.617 data_s:1.431 smp/s:42 mem_gb:52.85
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+ Training: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 21000/60000 [17:33:16<39:58:31, 3.69s/step]INFO 2026-07-20 16:50:22 ot_train.py:649 step:21K smpl:3M ep:61K epch:12.31 loss:0.029 grdn:0.203 lr:8.2e-05 updt_s:1.602 data_s:1.561 smp/s:40 mem_gb:52.85
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+ Training: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 21200/60000 [17:43:55<31:28:11, 2.92s/step]INFO 2026-07-20 17:01:02 ot_train.py:649 step:21K smpl:3M ep:61K epch:12.43 loss:0.029 grdn:0.198 lr:8.2e-05 updt_s:1.612 data_s:1.582 smp/s:40 mem_gb:52.85
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+ Training: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 21400/60000 [17:54:30<33:41:03, 3.14s/step]INFO 2026-07-20 17:11:36 ot_train.py:649 step:21K smpl:3M ep:62K epch:12.54 loss:0.028 grdn:0.202 lr:8.1e-05 updt_s:1.583 data_s:1.584 smp/s:40 mem_gb:52.85
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+ Training: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 21600/60000 [18:04:58<33:20:37, 3.13s/step]INFO 2026-07-20 17:22:04 ot_train.py:649 step:22K smpl:3M ep:62K epch:12.66 loss:0.028 grdn:0.209 lr:8.1e-05 updt_s:1.534 data_s:1.599 smp/s:41 mem_gb:52.77
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+ Training: 36%|β–ˆβ–ˆβ–ˆβ–‹ | 21800/60000 [18:15:24<32:50:40, 3.10s/step]INFO 2026-07-20 17:32:30 ot_train.py:649 step:22K smpl:3M ep:63K epch:12.78 loss:0.028 grdn:0.211 lr:8.1e-05 updt_s:1.626 data_s:1.501 smp/s:41 mem_gb:52.85
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+ Training: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 22000/60000 [18:25:39<32:48:18, 3.11s/step]INFO 2026-07-20 17:42:45 ot_train.py:649 step:22K smpl:3M ep:64K epch:12.90 loss:0.028 grdn:0.210 lr:8.0e-05 updt_s:1.557 data_s:1.514 smp/s:42 mem_gb:52.85
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+ Training: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 22200/60000 [18:35:56<29:42:38, 2.83s/step]INFO 2026-07-20 17:53:02 ot_train.py:649 step:22K smpl:3M ep:64K epch:13.01 loss:0.030 grdn:0.215 lr:8.0e-05 updt_s:1.582 data_s:1.497 smp/s:42 mem_gb:52.85
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+ Training: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 22400/60000 [18:46:05<31:31:25, 3.02s/step]INFO 2026-07-20 18:03:11 ot_train.py:649 step:22K smpl:3M ep:65K epch:13.13 loss:0.027 grdn:0.204 lr:7.9e-05 updt_s:1.607 data_s:1.428 smp/s:42 mem_gb:52.85
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+ Training: 38%|β–ˆβ–ˆβ–ˆβ–Š | 22600/60000 [18:56:08<28:22:58, 2.73s/step]INFO 2026-07-20 18:13:15 ot_train.py:649 step:23K smpl:3M ep:65K epch:13.25 loss:0.027 grdn:0.199 lr:7.9e-05 updt_s:1.627 data_s:1.387 smp/s:42 mem_gb:52.77
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+ Training: 38%|β–ˆβ–ˆβ–ˆβ–Š | 22800/60000 [19:06:17<30:49:08, 2.98s/step]INFO 2026-07-20 18:23:23 ot_train.py:649 step:23K smpl:3M ep:66K epch:13.36 loss:0.027 grdn:0.198 lr:7.8e-05 updt_s:1.658 data_s:1.380 smp/s:42 mem_gb:52.85
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+ Training: 38%|β–ˆβ–ˆβ–ˆβ–Š | 23000/60000 [19:16:30<31:01:26, 3.02s/step]INFO 2026-07-20 18:33:36 ot_train.py:649 step:23K smpl:3M ep:66K epch:13.48 loss:0.027 grdn:0.205 lr:7.8e-05 updt_s:1.648 data_s:1.410 smp/s:42 mem_gb:52.85
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+ Training: 39%|β–ˆβ–ˆβ–ˆβ–Š | 23200/60000 [19:26:41<35:29:23, 3.47s/step]INFO 2026-07-20 18:43:48 ot_train.py:649 step:23K smpl:3M ep:67K epch:13.60 loss:0.027 grdn:0.199 lr:7.7e-05 updt_s:1.668 data_s:1.385 smp/s:42 mem_gb:52.85
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+ Training: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 23400/60000 [19:37:25<35:19:50, 3.48s/step]INFO 2026-07-20 18:54:31 ot_train.py:649 step:23K smpl:3M ep:68K epch:13.72 loss:0.026 grdn:0.200 lr:7.7e-05 updt_s:1.616 data_s:1.595 smp/s:40 mem_gb:52.85
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+ Training: 39%|β–ˆβ–ˆβ–ˆβ–‰ | 23600/60000 [19:49:09<33:05:06, 3.27s/step]INFO 2026-07-20 19:06:16 ot_train.py:649 step:24K smpl:3M ep:68K epch:13.83 loss:0.026 grdn:0.196 lr:7.6e-05 updt_s:1.821 data_s:1.697 smp/s:36 mem_gb:52.85
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+ Training: 40%|β–ˆβ–ˆβ–ˆβ–‰ | 23800/60000 [20:00:27<36:30:17, 3.63s/step]INFO 2026-07-20 19:17:33 ot_train.py:649 step:24K smpl:3M ep:69K epch:13.95 loss:0.027 grdn:0.213 lr:7.6e-05 updt_s:1.717 data_s:1.664 smp/s:38 mem_gb:52.77
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+ Training: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 24000/60000 [20:12:03<30:25:30, 3.04s/step]INFO 2026-07-20 19:29:09 ot_train.py:649 step:24K smpl:3M ep:69K epch:14.07 loss:0.025 grdn:0.191 lr:7.5e-05 updt_s:1.728 data_s:1.746 smp/s:37 mem_gb:52.85
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+ Training: 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 24200/60000 [20:23:15<32:02:59, 3.22s/step]INFO 2026-07-20 19:40:22 ot_train.py:649 step:24K smpl:3M ep:70K epch:14.19 loss:0.025 grdn:0.192 lr:7.5e-05 updt_s:1.662 data_s:1.696 smp/s:38 mem_gb:52.85
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+ Training: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 24400/60000 [20:34:26<31:14:52, 3.16s/step]INFO 2026-07-20 19:51:32 ot_train.py:649 step:24K smpl:3M ep:71K epch:14.30 loss:0.026 grdn:0.197 lr:7.4e-05 updt_s:1.619 data_s:1.729 smp/s:38 mem_gb:52.85
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+ Training: 41%|β–ˆβ–ˆβ–ˆβ–ˆ | 24600/60000 [20:44:56<31:04:28, 3.16s/step]INFO 2026-07-20 20:02:02 ot_train.py:649 step:25K smpl:3M ep:71K epch:14.42 loss:0.025 grdn:0.186 lr:7.4e-05 updt_s:1.562 data_s:1.580 smp/s:41 mem_gb:52.85
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+ INFO 2026-07-21 00:34:02 ot_train.py:694 Checkpoint policy after step 30000
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+ INFO 2026-07-21 00:34:31 in_yaml.py:1245 Saved config, action-space, prompt, and phase provenance in /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K and /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000
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+ Training: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 35400/60000 [29:56:36<19:32:57, 2.86s/step]INFO 2026-07-21 05:13:42 ot_train.py:649 step:35K smpl:5M ep:102K epch:20.75 loss:0.015 grdn:0.144 lr:4.3e-05 updt_s:1.654 data_s:1.354 smp/s:43 mem_gb:52.85
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+ Training: 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 35600/60000 [30:06:41<19:25:59, 2.87s/step]INFO 2026-07-21 05:23:47 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.87 loss:0.015 grdn:0.143 lr:4.3e-05 updt_s:1.662 data_s:1.356 smp/s:42 mem_gb:52.85
198
+ Training: 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 35800/60000 [30:16:44<20:53:27, 3.11s/step]INFO 2026-07-21 05:33:50 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.98 loss:0.015 grdn:0.139 lr:4.2e-05 updt_s:1.637 data_s:1.371 smp/s:43 mem_gb:52.85
199
+ Training: 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 36000/60000 [30:26:45<18:56:43, 2.84s/step]INFO 2026-07-21 05:43:51 ot_train.py:649 step:36K smpl:5M ep:104K epch:21.10 loss:0.015 grdn:0.148 lr:4.2e-05 updt_s:1.632 data_s:1.371 smp/s:43 mem_gb:52.85
200
+ Training: 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 36200/60000 [30:36:50<19:57:34, 3.02s/step]INFO 2026-07-21 05:53:56 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.22 loss:0.015 grdn:0.157 lr:4.1e-05 updt_s:1.667 data_s:1.352 smp/s:42 mem_gb:52.77
201
+ Training: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 36400/60000 [30:46:49<18:37:26, 2.84s/step]INFO 2026-07-21 06:03:55 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.34 loss:0.014 grdn:0.146 lr:4.0e-05 updt_s:1.621 data_s:1.367 smp/s:43 mem_gb:52.85
202
+ Training: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 36600/60000 [30:56:56<20:55:39, 3.22s/step]INFO 2026-07-21 06:14:02 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.45 loss:0.015 grdn:0.145 lr:4.0e-05 updt_s:1.645 data_s:1.386 smp/s:42 mem_gb:52.85
203
+ Training: 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 36800/60000 [31:06:54<19:30:38, 3.03s/step]INFO 2026-07-21 06:24:00 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.57 loss:0.014 grdn:0.143 lr:3.9e-05 updt_s:1.624 data_s:1.360 smp/s:43 mem_gb:52.85
204
+ Training: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37000/60000 [31:17:04<19:25:36, 3.04s/step]INFO 2026-07-21 06:34:11 ot_train.py:649 step:37K smpl:5M ep:107K epch:21.69 loss:0.015 grdn:0.147 lr:3.9e-05 updt_s:1.657 data_s:1.389 smp/s:42 mem_gb:52.85
205
+ Training: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37200/60000 [31:27:17<17:58:01, 2.84s/step]INFO 2026-07-21 06:44:23 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.81 loss:0.014 grdn:0.145 lr:3.8e-05 updt_s:1.657 data_s:1.398 smp/s:42 mem_gb:52.85
206
+ Training: 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 37400/60000 [31:37:13<17:37:27, 2.81s/step]INFO 2026-07-21 06:54:19 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.92 loss:0.014 grdn:0.142 lr:3.8e-05 updt_s:1.592 data_s:1.384 smp/s:43 mem_gb:52.77
207
+ Training: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 37600/60000 [31:47:16<18:16:57, 2.94s/step]INFO 2026-07-21 07:04:22 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.04 loss:0.013 grdn:0.136 lr:3.7e-05 updt_s:1.638 data_s:1.370 smp/s:43 mem_gb:52.85
208
+ Training: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 37800/60000 [31:57:22<18:32:04, 3.01s/step]INFO 2026-07-21 07:14:28 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.16 loss:0.014 grdn:0.139 lr:3.6e-05 updt_s:1.628 data_s:1.397 smp/s:42 mem_gb:52.85
209
+ Training: 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 38000/60000 [32:07:42<18:37:20, 3.05s/step]INFO 2026-07-21 07:24:48 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.27 loss:0.014 grdn:0.137 lr:3.6e-05 updt_s:1.644 data_s:1.451 smp/s:41 mem_gb:52.85
210
+ Training: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 38200/60000 [32:17:56<18:21:35, 3.03s/step]INFO 2026-07-21 07:35:03 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.39 loss:0.013 grdn:0.130 lr:3.5e-05 updt_s:1.630 data_s:1.437 smp/s:42 mem_gb:52.85
211
+ Training: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 38400/60000 [32:29:21<24:18:48, 4.05s/step]INFO 2026-07-21 07:46:28 ot_train.py:649 step:38K smpl:5M ep:111K epch:22.51 loss:0.014 grdn:0.144 lr:3.5e-05 updt_s:1.739 data_s:1.681 smp/s:37 mem_gb:52.77
212
+ Training: 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 38600/60000 [32:40:11<19:07:19, 3.22s/step]INFO 2026-07-21 07:57:17 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.63 loss:0.013 grdn:0.126 lr:3.4e-05 updt_s:1.715 data_s:1.528 smp/s:39 mem_gb:52.85
213
+ Training: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 38800/60000 [32:51:01<16:43:44, 2.84s/step]INFO 2026-07-21 08:08:07 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.74 loss:0.013 grdn:0.134 lr:3.4e-05 updt_s:1.743 data_s:1.499 smp/s:39 mem_gb:52.85
214
+ Training: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 39000/60000 [33:01:47<17:01:27, 2.92s/step]INFO 2026-07-21 08:18:53 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.86 loss:0.013 grdn:0.135 lr:3.3e-05 updt_s:1.731 data_s:1.495 smp/s:40 mem_gb:52.85
215
+ Training: 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 39200/60000 [33:12:39<19:16:08, 3.34s/step]INFO 2026-07-21 08:29:45 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.98 loss:0.013 grdn:0.135 lr:3.3e-05 updt_s:1.682 data_s:1.571 smp/s:39 mem_gb:52.85
216
+ Training: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 39400/60000 [33:23:31<21:05:40, 3.69s/step]INFO 2026-07-21 08:40:38 ot_train.py:649 step:39K smpl:5M ep:114K epch:23.10 loss:0.013 grdn:0.133 lr:3.2e-05 updt_s:1.740 data_s:1.517 smp/s:39 mem_gb:52.85
217
+ Training: 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 39461/60000 [33:26:54<18:23:31, 3.22s/step]
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260719_231652-r3cz38bm/files/wandb-metadata.json ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-6.8.0-107-generic-x86_64-with-glibc2.39",
3
+ "python": "CPython 3.12.13",
4
+ "startedAt": "2026-07-19T14:16:52.824874Z",
5
+ "args": [
6
+ "--config_path=/tmp/insight_lerobot_cfg_67r_qmrm/LAPstyle_RKD_linear_decay_6K.yaml",
7
+ "--batch_size=128",
8
+ "--output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K"
9
+ ],
10
+ "program": "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py",
11
+ "git": {
12
+ "remote": "git@github.com:paragon7060/clvla.git",
13
+ "commit": "a9df08f7da2d8eb1fa7f28708b4eb6f6dc81b1f9"
14
+ },
15
+ "root": "/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K",
16
+ "host": "DGX-H200-01",
17
+ "executable": "/home/ext_minje/miniforge3/envs/lerobot060_groot/bin/python",
18
+ "cpu_count": 112,
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+ "cpu_count_logical": 224,
20
+ "gpu": "NVIDIA H200",
21
+ "gpu_count": 8,
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+ "disk": {
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+ "/": {
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+ "total": "1888425144320",
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+ "used": "814078631936"
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+ }
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+ },
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+ "memory": {
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+ "total": "2164177309696"
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+ },
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+ "gpu_nvidia": [
32
+ {
33
+ "name": "NVIDIA H200",
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+ "memoryTotal": "150754820096",
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+ "cudaCores": 16896,
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+ "architecture": "Hopper",
37
+ "uuid": "GPU-1e531a45-480e-3c1a-e9a0-2ba2cc27b0a3"
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+ },
39
+ {
40
+ "name": "NVIDIA H200",
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+ "memoryTotal": "150754820096",
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+ "cudaCores": 16896,
43
+ "architecture": "Hopper",
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+ "uuid": "GPU-5d3d5ae2-ffde-89d9-8818-dc19e11ad2fb"
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+ },
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+ {
47
+ "name": "NVIDIA H200",
48
+ "memoryTotal": "150754820096",
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+ "cudaCores": 16896,
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+ "architecture": "Hopper",
51
+ "uuid": "GPU-305c0dae-dcf5-d7bb-7dd3-5477d2194275"
52
+ },
53
+ {
54
+ "name": "NVIDIA H200",
55
+ "memoryTotal": "150754820096",
56
+ "cudaCores": 16896,
57
+ "architecture": "Hopper",
58
+ "uuid": "GPU-ed8b7920-8881-4e8f-3e88-be1bbecafa21"
59
+ },
60
+ {
61
+ "name": "NVIDIA H200",
62
+ "memoryTotal": "150754820096",
63
+ "cudaCores": 16896,
64
+ "architecture": "Hopper",
65
+ "uuid": "GPU-a91176db-55f2-b284-bbbf-56626596947d"
66
+ },
67
+ {
68
+ "name": "NVIDIA H200",
69
+ "memoryTotal": "150754820096",
70
+ "cudaCores": 16896,
71
+ "architecture": "Hopper",
72
+ "uuid": "GPU-922ff6d5-a948-205a-0426-dbee495fc3dd"
73
+ },
74
+ {
75
+ "name": "NVIDIA H200",
76
+ "memoryTotal": "150754820096",
77
+ "cudaCores": 16896,
78
+ "architecture": "Hopper",
79
+ "uuid": "GPU-1fde7c75-18fe-e3db-a4c1-85e67522f55f"
80
+ },
81
+ {
82
+ "name": "NVIDIA H200",
83
+ "memoryTotal": "150754820096",
84
+ "cudaCores": 16896,
85
+ "architecture": "Hopper",
86
+ "uuid": "GPU-a9b1c49b-d527-97d8-ce91-7e50bd02154c"
87
+ }
88
+ ],
89
+ "cudaVersion": "12.9",
90
+ "writerId": "3s3m5i5cgidc1ad2mxrv5lii4zchlite"
91
+ }
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/files/output.log ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2026-07-21 17:56:03 db_utils.py:121 Logs will be synced with wandb.
2
+ INFO 2026-07-21 17:56:03 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/r3cz38bm
3
+ INFO 2026-07-21 17:56:03 ot_train.py:298 Creating dataset
4
+ INFO 2026-07-21 17:56:05 ot_train.py:332 Creating policy
5
+ INFO 2026-07-21 17:56:05 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model
6
+ INFO 2026-07-21 17:56:05 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
7
+ Traceback (most recent call last):
8
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 795, in hf_raise_for_status
9
+ response.raise_for_status()
10
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/httpx/_models.py", line 829, in raise_for_status
11
+ raise HTTPStatusError(message, request=request, response=self)
12
+ httpx.HTTPStatusError: Client error '401 Unauthorized' for url 'https://huggingface.co/nvidia/GR00T-N1.7-3B/resolve/main/config.json'
13
+ For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401
14
+
15
+ The above exception was the direct cause of the following exception:
16
+
17
+ Traceback (most recent call last):
18
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/transformers/utils/hub.py", line 422, in cached_files
19
+ hf_hub_download(
20
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
21
+ return fn(*args, **kwargs)
22
+ ^^^^^^^^^^^^^^^^^^^
23
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/file_download.py", line 1013, in hf_hub_download
24
+ return _hf_hub_download_to_cache_dir(
25
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
26
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/file_download.py", line 1165, in _hf_hub_download_to_cache_dir
27
+ _raise_on_head_call_error(head_call_error, force_download, local_files_only)
28
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/file_download.py", line 1864, in _raise_on_head_call_error
29
+ raise head_call_error
30
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/file_download.py", line 1707, in _get_metadata_or_catch_error
31
+ metadata = get_hf_file_metadata(
32
+ ^^^^^^^^^^^^^^^^^^^^^
33
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 88, in _inner_fn
34
+ return fn(*args, **kwargs)
35
+ ^^^^^^^^^^^^^^^^^^^
36
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/file_download.py", line 1615, in get_hf_file_metadata
37
+ response = _httpx_follow_relative_redirects_with_backoff(
38
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
39
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 726, in _httpx_follow_relative_redirects_with_backoff
40
+ hf_raise_for_status(response)
41
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 882, in hf_raise_for_status
42
+ raise _format(RepositoryNotFoundError, message, response, repo_type=repo_type, repo_id=repo_id) from e
43
+ huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6a5fb2b5-6824134c4e397387149d0cce;cac3eee4-7806-45b9-adfe-9e3e32a2e235)
44
+
45
+ Repository Not Found for url: https://huggingface.co/nvidia/GR00T-N1.7-3B/resolve/main/config.json.
46
+ Please make sure you specified the correct `repo_id` and `repo_type`.
47
+ If you are trying to access a private or gated repo, make sure you are authenticated and your token has the required permissions.
48
+ For more details, see https://huggingface.co/docs/huggingface_hub/authentication
49
+ OAuth token signature verification failed: signature verification failed
50
+
51
+ The above exception was the direct cause of the following exception:
52
+
53
+ Traceback (most recent call last):
54
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1428, in <module>
55
+ main()
56
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1424, in main
57
+ train_module.main()
58
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 816, in main
59
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/configs/parser.py", line 320, in wrapper_inner
60
+ response = fn(cfg, *args, **kwargs)
61
+ ^^^^^^^^^^^^^^^^^^^^^^^^
62
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 333, in train
63
+ }
64
+
65
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1170, in make_policy
66
+ policy = original_make_policy(*args, **kwargs)
67
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
68
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/policies/factory.py", line 615, in make_policy
69
+ policy = policy_cls.from_pretrained(**kwargs)
70
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
71
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_policies/groot_RKD/modeling_groot.py", line 226, in from_pretrained
72
+ return super().from_pretrained(
73
+ ^^^^^^^^^^^^^^^^^^^^^^^^
74
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/policies/pretrained.py", line 194, in from_pretrained
75
+ instance = cls(config, **kwargs)
76
+ ^^^^^^^^^^^^^^^^^^^^^
77
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_policies/groot_RKD/modeling_groot_rkd.py", line 44, in __init__
78
+ super().__init__(config, **kwargs)
79
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_policies/groot_RKD/modeling_groot.py", line 79, in __init__
80
+ self._groot_model = self._create_groot_model()
81
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
82
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_policies/groot_RKD/modeling_groot.py", line 104, in _create_groot_model
83
+ model = GR00TN17.from_pretrained(
84
+ ^^^^^^^^^^^^^^^^^^^^^^^^^
85
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_policies/groot_RKD/groot_n1_7.py", line 915, in from_pretrained
86
+ pretrained_model = super().from_pretrained(
87
+ ^^^^^^^^^^^^^^^^^^^^^^^^
88
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/transformers/modeling_utils.py", line 3993, in from_pretrained
89
+ _adapter_model_path, pretrained_model_name_or_path, adapter_kwargs = maybe_load_adapters(
90
+ ^^^^^^^^^^^^^^^^^^^^
91
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/transformers/integrations/peft.py", line 973, in maybe_load_adapters
92
+ resolved_config_file = cached_file(
93
+ ^^^^^^^^^^^^
94
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/transformers/utils/hub.py", line 278, in cached_file
95
+ file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
96
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
97
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/transformers/utils/hub.py", line 454, in cached_files
98
+ raise OSError(
99
+ OSError: nvidia/GR00T-N1.7-3B is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models'
100
+ If this is a private repository, make sure to pass a token having permission to this repo either by logging in with `hf auth login` or by passing `token=<your_token>`
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/logs/debug.log ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-07-21 17:56:02,221 INFO MainThread:689 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-07-21 17:56:02,221 INFO MainThread:689 [wandb_setup.py:_flush():81] Configure stats pid to 689
3
+ 2026-07-21 17:56:02,221 INFO MainThread:689 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-07-21 17:56:02,221 INFO MainThread:689 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/logs/debug.log
5
+ 2026-07-21 17:56:02,221 INFO MainThread:689 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_175602-r3cz38bm/logs/debug-internal.log
6
+ 2026-07-21 17:56:02,222 INFO MainThread:689 [wandb_init.py:init():766] calling init triggers
7
+ 2026-07-21 17:56:02,222 INFO MainThread:689 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'repo_id': 'Whalswp/INSIGHTfixposV4_filtered_multispace_v2', 'root': '/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'return_uint8': False, 'depth_output_unit': 'mm', 'streaming': False, 'eval_split': 0.0}, 'env': None, 'policy': {'type': 'groot_rkd', 'n_obs_steps': 1, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [16]}, 'observation.images.wrist': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.right_shoulder': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.guide': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [16]}}, 'device': 'cuda', 'use_amp': False, 'use_peft': False, 'push_to_hub': False, 'repo_id': None, 'private': None, 'tags': None, 'license': None, 'pretrained_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model', 'pretrained_revision': None, 'chunk_size': 16, 'n_action_steps': 16, 'max_state_dim': 132, 'max_action_dim': 132, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.IDENTITY: 'IDENTITY'>}, 'base_model_path': 'nvidia/GR00T-N1.7-3B', 'action_decode_transform': None, 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'tune_vlln': True, 'tune_top_llm_layers': 0, 'num_inference_timesteps': None, 'rtc_ramp_rate': None, 'use_flash_attention': False, 'use_relative_actions': False, 'relative_exclude_joints': [], 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_steps': 6000, 'warmup_ratio': 0.05, 'use_bf16': True, 'model_params_fp32': True, 'image_size': [256, 256], 'tokenizer_assets_repo': None, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 32, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False, 'rkd_enabled': True, 'rkd_vae_checkpoint': '/home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84', 'rkd_student_pooling': 'attention', 'rkd_student_attention_hidden_dim': 512, 'rkd_student_attention_output_dim': 512, 'rkd_fm_loss_weight': 1.0, 'rkd_loss_weight': 1.0, 'rkd_distance_weight': 1.0, 'rkd_angle_weight': 2.0}, 'reward_model': None, 'output_dir': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K', 'job_name': 'INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_6K', 'resume': True, 'seed': 42, 'cudnn_deterministic': False, 'num_workers': 4, 'batch_size': 128, 'prefetch_factor': 4, 'persistent_workers': True, 'steps': 60000, 'env_eval_freq': 20000, 'log_freq': 200, 'eval_steps': 0, 'max_eval_samples': 0, 'tolerance_s': 0.0001, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 1.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 6000, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': True, 'recording': False, 'recording_repo_id': None, 'recording_private': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': 'r3cz38bm', 'mode': None, 'add_tags': True}, 'peft': None, 'job': {'target': None, 'image': 'huggingface/lerobot-gpu:latest', 'timeout': '2d', 'detach': False, 'tags': []}, 'save_checkpoint_to_hub': False, 'sample_weighting': None, 'rename_map': {}, 'checkpoint_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000', '_wandb': {}}
9
+ 2026-07-21 17:56:02,222 INFO MainThread:689 [wandb_init.py:init():814] starting backend
10
+ 2026-07-21 17:56:02,443 INFO MainThread:689 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-07-21 17:56:02,840 INFO MainThread:689 [wandb_init.py:init():834] backend started and connected
12
+ 2026-07-21 17:56:02,842 INFO MainThread:689 [wandb_init.py:init():904] updated telemetry
13
+ 2026-07-21 17:56:02,846 INFO MainThread:689 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-07-21 17:56:03,426 INFO MainThread:689 [wandb_init.py:init():967] run resumed
15
+ 2026-07-21 17:56:03,428 INFO MainThread:689 [wandb_init.py:init():972] starting run threads in backend
16
+ 2026-07-21 17:56:03,479 INFO MainThread:689 [wandb_run.py:_console_start():2523] atexit reg
17
+ 2026-07-21 17:56:03,480 INFO MainThread:689 [wandb_run.py:_redirect():2373] redirect: wrap_raw
18
+ 2026-07-21 17:56:03,480 INFO MainThread:689 [wandb_run.py:_redirect():2442] Wrapping output streams.
19
+ 2026-07-21 17:56:03,480 INFO MainThread:689 [wandb_run.py:_redirect():2465] Redirects installed.
20
+ 2026-07-21 17:56:03,481 INFO MainThread:689 [wandb_init.py:init():1010] run started, returning control to user process
21
+ 2026-07-21 17:56:05,901 INFO wandb-AsyncioManager-main:689 [service_client.py:_forward_responses():122] Reached EOF.
22
+ 2026-07-21 17:56:05,901 INFO wandb-AsyncioManager-main:689 [mailbox.py:close():154] Closing mailbox, abandoning 2 handles.
23
+ 2026-07-21 17:56:05,901 ERROR wandb-AsyncioManager-main:689 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
24
+ Traceback (most recent call last):
25
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
26
+ await fn()
27
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
28
+ await asyncio_compat.race(
29
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
30
+ async with open_task_group(race=True) as tg:
31
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
32
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/contextlib.py", line 217, in __aexit__
33
+ await anext(self.gen)
34
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
35
+ await task_group._wait_all(race=race, timeout=exit_timeout)
36
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
37
+ raise exc
38
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
39
+ result = await handle.wait_async(timeout=None)
40
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
41
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
42
+ response = await self._handle.wait_async(timeout=timeout)
43
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
44
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
45
+ raise HandleAbandonedError()
46
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/output.log ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2026-07-21 18:02:59 db_utils.py:121 Logs will be synced with wandb.
2
+ INFO 2026-07-21 18:02:59 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/r3cz38bm
3
+ INFO 2026-07-21 18:02:59 ot_train.py:298 Creating dataset
4
+ INFO 2026-07-21 18:03:01 ot_train.py:332 Creating policy
5
+ INFO 2026-07-21 18:03:01 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model
6
+ INFO 2026-07-21 18:03:01 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
7
+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 4593.98it/s]
8
+ `torch_dtype` is deprecated! Use `dtype` instead!
9
+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:01<00:00, 790.87it/s]
10
+ Loading weights from local directory
11
+ Traceback (most recent call last):
12
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1428, in <module>
13
+ main()
14
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1424, in main
15
+ train_module.main()
16
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 816, in main
17
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/configs/parser.py", line 320, in wrapper_inner
18
+ response = fn(cfg, *args, **kwargs)
19
+ ^^^^^^^^^^^^^^^^^^^^^^^^
20
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 397, in train
21
+ logging.info(colored("Output dir:", "yellow", attrs=["bold"]) + f" {cfg.output_dir}")
22
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
23
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1197, in make_pre_post_processors
24
+ kwargs[override_key] = _project_nested_stats(
25
+ ^^^^^^^^^^^^^^^^^^^^^^
26
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 815, in _project_nested_stats
27
+ projected[key] = _project_nested_stats(item, source_key, composite_contract)
28
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
29
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 815, in _project_nested_stats
30
+ projected[key] = _project_nested_stats(item, source_key, composite_contract)
31
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
32
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 807, in _project_nested_stats
33
+ and all(
34
+ ^^^^
35
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 808, in <genexpr>
36
+ source in item
37
+ TypeError: argument of type 'PolicyFeature' is not iterable
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/wandb-metadata.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-6.8.0-55-generic-x86_64-with-glibc2.39",
3
+ "python": "CPython 3.12.13",
4
+ "startedAt": "2026-07-21T18:02:57.930641Z",
5
+ "args": [
6
+ "--config_path=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model/train_config.json",
7
+ "--resume=true",
8
+ "--dataset.root=/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2",
9
+ "--output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K"
10
+ ],
11
+ "program": "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py",
12
+ "codePath": "benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py",
13
+ "codePathLocal": "my_scripts/lerobot_train_yaml.py",
14
+ "git": {
15
+ "remote": "git@github.com:paragon7060/clvla.git",
16
+ "commit": "c1ff610ae4b02827f1c984cef8bbf28a7889bd6f"
17
+ },
18
+ "root": "/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K",
19
+ "host": "ext_minje-box",
20
+ "executable": "/home/ext_minje/miniconda3/envs/lerobot060_groot/bin/python",
21
+ "cpu_count": 112,
22
+ "cpu_count_logical": 224,
23
+ "gpu": "NVIDIA H200",
24
+ "gpu_count": 2,
25
+ "disk": {
26
+ "/": {
27
+ "total": "1888425144320",
28
+ "used": "1061565542400"
29
+ }
30
+ },
31
+ "memory": {
32
+ "total": "2164176568320"
33
+ },
34
+ "gpu_nvidia": [
35
+ {
36
+ "name": "NVIDIA H200",
37
+ "memoryTotal": "150754820096",
38
+ "cudaCores": 16896,
39
+ "architecture": "Hopper",
40
+ "uuid": "GPU-86be6e5b-fb48-fa1c-9bd7-83d336cb2991"
41
+ },
42
+ {
43
+ "name": "NVIDIA H200",
44
+ "memoryTotal": "150754820096",
45
+ "cudaCores": 16896,
46
+ "architecture": "Hopper",
47
+ "uuid": "GPU-24eb1ba2-7313-ff93-1435-748768ebdbdc"
48
+ }
49
+ ],
50
+ "cudaVersion": "12.8",
51
+ "writerId": "k4zzjokseci84fua38cil1zny8jdpb94"
52
+ }
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/files/wandb-summary.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"train/training_phase_index":1,"train/epochs":23.095064730476675,"train/rkd_fm_loss_weight":1,"_wandb":{"runtime":120246},"train/weighted_rkd_loss":0,"train/weighted_flow_matching_loss":0.01333356648683548,"train/update_s":1.740447256843327,"train/rkd_loss_weight":0,"train/training_phase_trainable_params":1.620515968e+09,"train/training_phase_until_step":60000,"_step":39400,"train/gpu_mem_gb":52.854942321777344,"_timestamp":1.7845908380068417e+09,"train/episodes":113858.66912125002,"train/training_phase_start_step":6000,"train/lr":3.2080345776402876e-05,"train/loss":0.01333356648683548,"train/samples":5043200,"train/rkd_angle_loss":0.006630226504057646,"train/rkd_runtime_enabled":0,"train/steps":39400,"train/samples_per_s":39.2949964985869,"train/rkd_distance_loss":0.004328658804297447,"train/dataloading_s":1.5169649178747204,"train/rkd_student_pooling_id":1,"train/grad_norm":0.13331510741263627,"train/rkd_student_feature_norm":1.80727219581604,"train/flow_matching_loss":0.01333356648683548,"train/rkd_loss":0.017589110881090164,"_runtime":120246,"train/rkd_teacher_latent_norm":1}
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/logs/debug.log ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_setup.py:_flush():81] Configure stats pid to 2603
3
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/logs/debug.log
5
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/logs/debug-internal.log
6
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_init.py:init():766] calling init triggers
7
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'repo_id': 'Whalswp/INSIGHTfixposV4_filtered_multispace_v2', 'root': '/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'return_uint8': False, 'depth_output_unit': 'mm', 'streaming': False, 'eval_split': 0.0}, 'env': None, 'policy': {'type': 'groot_rkd', 'n_obs_steps': 1, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [16]}, 'observation.images.wrist': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.right_shoulder': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.guide': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [16]}}, 'device': 'cuda', 'use_amp': False, 'use_peft': False, 'push_to_hub': False, 'repo_id': None, 'private': None, 'tags': None, 'license': None, 'pretrained_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model', 'pretrained_revision': None, 'chunk_size': 16, 'n_action_steps': 16, 'max_state_dim': 132, 'max_action_dim': 132, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.IDENTITY: 'IDENTITY'>}, 'base_model_path': 'nvidia/GR00T-N1.7-3B', 'action_decode_transform': None, 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'tune_vlln': True, 'tune_top_llm_layers': 0, 'num_inference_timesteps': None, 'rtc_ramp_rate': None, 'use_flash_attention': False, 'use_relative_actions': False, 'relative_exclude_joints': [], 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_steps': 6000, 'warmup_ratio': 0.05, 'use_bf16': True, 'model_params_fp32': True, 'image_size': [256, 256], 'tokenizer_assets_repo': None, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 32, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False, 'rkd_enabled': True, 'rkd_vae_checkpoint': '/home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84', 'rkd_student_pooling': 'attention', 'rkd_student_attention_hidden_dim': 512, 'rkd_student_attention_output_dim': 512, 'rkd_fm_loss_weight': 1.0, 'rkd_loss_weight': 1.0, 'rkd_distance_weight': 1.0, 'rkd_angle_weight': 2.0}, 'reward_model': None, 'output_dir': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K', 'job_name': 'INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_6K', 'resume': True, 'seed': 42, 'cudnn_deterministic': False, 'num_workers': 4, 'batch_size': 128, 'prefetch_factor': 4, 'persistent_workers': True, 'steps': 60000, 'env_eval_freq': 20000, 'log_freq': 200, 'eval_steps': 0, 'max_eval_samples': 0, 'tolerance_s': 0.0001, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 1.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 6000, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': True, 'recording': False, 'recording_repo_id': None, 'recording_private': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': 'r3cz38bm', 'mode': None, 'add_tags': True}, 'peft': None, 'job': {'target': None, 'image': 'huggingface/lerobot-gpu:latest', 'timeout': '2d', 'detach': False, 'tags': []}, 'save_checkpoint_to_hub': False, 'sample_weighting': None, 'rename_map': {}, 'checkpoint_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000', '_wandb': {}}
9
+ 2026-07-21 18:02:57,931 INFO MainThread:2603 [wandb_init.py:init():814] starting backend
10
+ 2026-07-21 18:02:58,147 INFO MainThread:2603 [wandb_init.py:init():829] sending inform_init request
11
+ 2026-07-21 18:02:58,603 INFO MainThread:2603 [wandb_init.py:init():834] backend started and connected
12
+ 2026-07-21 18:02:58,605 INFO MainThread:2603 [wandb_init.py:init():904] updated telemetry
13
+ 2026-07-21 18:02:58,609 INFO MainThread:2603 [wandb_init.py:init():927] communicating run to backend with 90.0 second timeout
14
+ 2026-07-21 18:02:59,490 INFO MainThread:2603 [wandb_init.py:init():967] run resumed
15
+ 2026-07-21 18:02:59,492 INFO MainThread:2603 [wandb_init.py:init():972] starting run threads in backend
16
+ 2026-07-21 18:02:59,544 INFO MainThread:2603 [wandb_run.py:_console_start():2523] atexit reg
17
+ 2026-07-21 18:02:59,544 INFO MainThread:2603 [wandb_run.py:_redirect():2373] redirect: wrap_raw
18
+ 2026-07-21 18:02:59,544 INFO MainThread:2603 [wandb_run.py:_redirect():2442] Wrapping output streams.
19
+ 2026-07-21 18:02:59,544 INFO MainThread:2603 [wandb_run.py:_redirect():2465] Redirects installed.
20
+ 2026-07-21 18:02:59,546 INFO MainThread:2603 [wandb_init.py:init():1010] run started, returning control to user process
21
+ 2026-07-21 18:03:20,638 INFO wandb-AsyncioManager-main:2603 [service_client.py:_forward_responses():122] Reached EOF.
22
+ 2026-07-21 18:03:20,638 INFO wandb-AsyncioManager-main:2603 [mailbox.py:close():154] Closing mailbox, abandoning 2 handles.
23
+ 2026-07-21 18:03:20,639 ERROR wandb-AsyncioManager-main:2603 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
24
+ Traceback (most recent call last):
25
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
26
+ await fn()
27
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
28
+ await asyncio_compat.race(
29
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
30
+ async with open_task_group(race=True) as tg:
31
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
32
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/contextlib.py", line 217, in __aexit__
33
+ await anext(self.gen)
34
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
35
+ await task_group._wait_all(race=race, timeout=exit_timeout)
36
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
37
+ raise exc
38
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
39
+ result = await handle.wait_async(timeout=None)
40
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
41
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
42
+ response = await self._handle.wait_async(timeout=timeout)
43
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
44
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
45
+ raise HandleAbandonedError()
46
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180257-r3cz38bm/run-r3cz38bm.wandb ADDED
Binary file (15.9 kB). View file
 
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/config.yaml ADDED
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+ - --resume=true
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+ - --dataset.root=/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2
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+ - --output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
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+ codePath: benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py
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+ cpu_count: 112
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+ cpu_count_logical: 224
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+ disk:
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+ /:
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+ total: "1888425144320"
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+ executable: /home/ext_minje/miniconda3/envs/lerobot060_groot/bin/python
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+ git:
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+ commit: c1ff610ae4b02827f1c984cef8bbf28a7889bd6f
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+ remote: git@github.com:paragon7060/clvla.git
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+ - architecture: Hopper
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+ cudaCores: 16896
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+ memoryTotal: "150754820096"
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+ name: NVIDIA H200
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+ uuid: GPU-86be6e5b-fb48-fa1c-9bd7-83d336cb2991
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+ - architecture: Hopper
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+ uuid: GPU-24eb1ba2-7313-ff93-1435-748768ebdbdc
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+ host: ext_minje-box
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+ memory:
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+ total: "2164176568320"
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+ os: Linux-6.8.0-55-generic-x86_64-with-glibc2.39
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+ program: /home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py
42
+ python: CPython 3.12.13
43
+ root: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
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+ startedAt: "2026-07-21T18:07:58.715030Z"
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+ value: true
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+ wandb:
324
+ value:
325
+ add_tags: true
326
+ disable_artifact: true
327
+ enable: true
328
+ entity: null
329
+ mode: null
330
+ notes: null
331
+ project: lerobot
332
+ run_id: r3cz38bm
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/output.log ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2026-07-21 18:07:59 db_utils.py:121 Logs will be synced with wandb.
2
+ INFO 2026-07-21 18:07:59 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/r3cz38bm
3
+ INFO 2026-07-21 18:07:59 ot_train.py:298 Creating dataset
4
+ INFO 2026-07-21 18:08:01 ot_train.py:332 Creating policy
5
+ INFO 2026-07-21 18:08:01 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model
6
+ INFO 2026-07-21 18:08:01 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
7
+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 6790.56it/s]
8
+ `torch_dtype` is deprecated! Use `dtype` instead!
9
+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:00<00:00, 1146.17it/s]
10
+ Loading weights from local directory
11
+ Traceback (most recent call last):
12
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1430, in <module>
13
+ main()
14
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1426, in main
15
+ train_module.main()
16
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 816, in main
17
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/configs/parser.py", line 320, in wrapper_inner
18
+ response = fn(cfg, *args, **kwargs)
19
+ ^^^^^^^^^^^^^^^^^^^^^^^^
20
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 397, in train
21
+ logging.info(colored("Output dir:", "yellow", attrs=["bold"]) + f" {cfg.output_dir}")
22
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
23
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1204, in make_pre_post_processors
24
+ return original_make_pre_post_processors(*args, **kwargs)
25
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
26
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/policies/factory.py", line 323, in make_pre_post_processors
27
+ preprocessor = PolicyProcessorPipeline.from_pretrained(
28
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
29
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/processor/pipeline.py", line 738, in from_pretrained
30
+ cls._validate_overrides_used(validated_overrides, loaded_config)
31
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/processor/pipeline.py", line 1254, in _validate_overrides_used
32
+ raise KeyError(
33
+ KeyError: "Override keys ['normalizer_processor'] do not match any step in the saved configuration. Available step keys: ['rename_observations_processor', 'to_batch_processor', 'rkd_preserve_raw_action', 'groot_n1_7_pack_inputs_v1', 'groot_n1_7_vlm_encode_v1', 'device_processor']. Make sure override keys match exact step class names or registry names."
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/files/wandb-metadata.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "os": "Linux-6.8.0-55-generic-x86_64-with-glibc2.39",
3
+ "python": "CPython 3.12.13",
4
+ "startedAt": "2026-07-21T18:07:58.715030Z",
5
+ "args": [
6
+ "--config_path=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model/train_config.json",
7
+ "--resume=true",
8
+ "--dataset.root=/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2",
9
+ "--output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K"
10
+ ],
11
+ "program": "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py",
12
+ "codePath": "benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py",
13
+ "codePathLocal": "my_scripts/lerobot_train_yaml.py",
14
+ "git": {
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+ "remote": "git@github.com:paragon7060/clvla.git",
16
+ "commit": "c1ff610ae4b02827f1c984cef8bbf28a7889bd6f"
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+ },
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+ "root": "/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K",
19
+ "host": "ext_minje-box",
20
+ "executable": "/home/ext_minje/miniconda3/envs/lerobot060_groot/bin/python",
21
+ "cpu_count": 112,
22
+ "cpu_count_logical": 224,
23
+ "gpu": "NVIDIA H200",
24
+ "gpu_count": 2,
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+ "disk": {
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+ "/": {
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+ "total": "1888425144320",
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+ "used": "1061567148032"
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+ }
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+ },
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+ "memory": {
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+ "total": "2164176568320"
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+ },
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+ "gpu_nvidia": [
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+ {
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+ "name": "NVIDIA H200",
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+ "memoryTotal": "150754820096",
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+ "cudaCores": 16896,
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+ "architecture": "Hopper",
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+ "uuid": "GPU-86be6e5b-fb48-fa1c-9bd7-83d336cb2991"
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+ },
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+ {
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+ "name": "NVIDIA H200",
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+ "memoryTotal": "150754820096",
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+ "cudaCores": 16896,
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+ "architecture": "Hopper",
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+ "uuid": "GPU-24eb1ba2-7313-ff93-1435-748768ebdbdc"
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+ }
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+ ],
50
+ "cudaVersion": "12.8",
51
+ "writerId": "y1xj7gc7lirfe5q2rd54wdogbqqlvgeh"
52
+ }
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug-core.log ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug.log ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-07-21 18:07:58,715 INFO MainThread:5569 [wandb_setup.py:_flush():81] Current SDK version is 0.27.2
2
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_setup.py:_flush():81] Configure stats pid to 5569
3
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_setup.py:_flush():81] Loading settings from environment variables
4
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug.log
5
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/wandb/run-20260721_180758-r3cz38bm/logs/debug-internal.log
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+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_init.py:init():766] calling init triggers
7
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_init.py:init():771] wandb.init called with sweep_config: {}
8
+ config: {'dataset': {'repo_id': 'Whalswp/INSIGHTfixposV4_filtered_multispace_v2', 'root': '/home/ext_minje/INSIGHTfixposV4_filtered_multispace_v2', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'affine': {'weight': 1.0, 'type': 'RandomAffine', 'kwargs': {'degrees': [-5.0, 5.0], 'translate': [0.05, 0.05]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'return_uint8': False, 'depth_output_unit': 'mm', 'streaming': False, 'eval_split': 0.0}, 'env': None, 'policy': {'type': 'groot_rkd', 'n_obs_steps': 1, 'input_features': {'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [16]}, 'observation.images.wrist': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.right_shoulder': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}, 'observation.images.guide': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 224, 224]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [16]}}, 'device': 'cuda', 'use_amp': False, 'use_peft': False, 'push_to_hub': False, 'repo_id': None, 'private': None, 'tags': None, 'license': None, 'pretrained_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model', 'pretrained_revision': None, 'chunk_size': 16, 'n_action_steps': 16, 'max_state_dim': 132, 'max_action_dim': 132, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.IDENTITY: 'IDENTITY'>}, 'base_model_path': 'nvidia/GR00T-N1.7-3B', 'action_decode_transform': None, 'embodiment_tag': 'new_embodiment', 'tune_llm': False, 'tune_visual': False, 'tune_projector': True, 'tune_diffusion_model': True, 'tune_vlln': True, 'tune_top_llm_layers': 0, 'num_inference_timesteps': None, 'rtc_ramp_rate': None, 'use_flash_attention': False, 'use_relative_actions': False, 'relative_exclude_joints': [], 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-05, 'warmup_steps': 6000, 'warmup_ratio': 0.05, 'use_bf16': True, 'model_params_fp32': True, 'image_size': [256, 256], 'tokenizer_assets_repo': None, 'lora_rank': 0, 'lora_alpha': 16, 'lora_dropout': 0.1, 'lora_full_model': False, 'video_backend': 'decord', 'balance_dataset_weights': True, 'balance_trajectory_weights': True, 'dataset_paths': None, 'output_dir': './tmp/gr00t', 'save_steps': 1000, 'max_steps': 10000, 'batch_size': 32, 'dataloader_num_workers': 8, 'report_to': 'wandb', 'resume': False, 'rkd_enabled': True, 'rkd_vae_checkpoint': '/home/ext_minje/groot_insight/TimewarpVAE_ckpt/multispace_gripper_dedup_batch_ablation_v1/b512/RD/K08_z16_g4_h256/checkpoint-step-20000-epoch-46.84', 'rkd_student_pooling': 'attention', 'rkd_student_attention_hidden_dim': 512, 'rkd_student_attention_output_dim': 512, 'rkd_fm_loss_weight': 1.0, 'rkd_loss_weight': 1.0, 'rkd_distance_weight': 1.0, 'rkd_angle_weight': 2.0}, 'reward_model': None, 'output_dir': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K', 'job_name': 'INSIGHT_RD_RKD_TimewarpVAE_LAPstyle_6K', 'resume': True, 'seed': 42, 'cudnn_deterministic': False, 'num_workers': 4, 'batch_size': 128, 'prefetch_factor': 4, 'persistent_workers': True, 'steps': 60000, 'env_eval_freq': 20000, 'log_freq': 200, 'eval_steps': 0, 'max_eval_samples': 0, 'tolerance_s': 0.0001, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-05, 'grad_clip_norm': 1.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 6000, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': True, 'recording': False, 'recording_repo_id': None, 'recording_private': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': 'r3cz38bm', 'mode': None, 'add_tags': True}, 'peft': None, 'job': {'target': None, 'image': 'huggingface/lerobot-gpu:latest', 'timeout': '2d', 'detach': False, 'tags': []}, 'save_checkpoint_to_hub': False, 'sample_weighting': None, 'rename_map': {}, 'checkpoint_path': '/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000', '_wandb': {}}
9
+ 2026-07-21 18:07:58,716 INFO MainThread:5569 [wandb_init.py:init():814] starting backend
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+ 2026-07-21 18:07:59,290 INFO MainThread:5569 [wandb_init.py:init():904] updated telemetry
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+ 2026-07-21 18:07:59,898 INFO MainThread:5569 [wandb_init.py:init():967] run resumed
15
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+ 2026-07-21 18:07:59,951 INFO MainThread:5569 [wandb_run.py:_console_start():2523] atexit reg
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+ 2026-07-21 18:07:59,952 INFO MainThread:5569 [wandb_run.py:_redirect():2373] redirect: wrap_raw
18
+ 2026-07-21 18:07:59,952 INFO MainThread:5569 [wandb_run.py:_redirect():2442] Wrapping output streams.
19
+ 2026-07-21 18:07:59,952 INFO MainThread:5569 [wandb_run.py:_redirect():2465] Redirects installed.
20
+ 2026-07-21 18:07:59,953 INFO MainThread:5569 [wandb_init.py:init():1010] run started, returning control to user process
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+ 2026-07-21 18:08:20,732 INFO wandb-AsyncioManager-main:5569 [service_client.py:_forward_responses():122] Reached EOF.
22
+ 2026-07-21 18:08:20,732 INFO wandb-AsyncioManager-main:5569 [mailbox.py:close():154] Closing mailbox, abandoning 2 handles.
23
+ 2026-07-21 18:08:20,733 ERROR wandb-AsyncioManager-main:5569 [asyncio_manager.py:fn_wrap_exceptions():184] Uncaught exception in run_soon callback.
24
+ Traceback (most recent call last):
25
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_manager.py", line 182, in fn_wrap_exceptions
26
+ await fn()
27
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 90, in loop
28
+ await asyncio_compat.race(
29
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 278, in race
30
+ async with open_task_group(race=True) as tg:
31
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
32
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/contextlib.py", line 217, in __aexit__
33
+ await anext(self.gen)
34
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 240, in open_task_group
35
+ await task_group._wait_all(race=race, timeout=exit_timeout)
36
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/asyncio_compat.py", line 180, in _wait_all
37
+ raise exc
38
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/lib/run_messages.py", line 113, in _print_all
39
+ result = await handle.wait_async(timeout=None)
40
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
41
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/mailbox_handle.py", line 127, in wait_async
42
+ response = await self._handle.wait_async(timeout=timeout)
43
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
44
+ File "/home/ext_minje/miniconda3/envs/lerobot060_groot/lib/python3.12/site-packages/wandb/sdk/mailbox/response_handle.py", line 123, in wait_async
45
+ raise HandleAbandonedError()
46
+ wandb.sdk.mailbox.mailbox_handle.HandleAbandonedError
Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_181953-a9vyia29/run-a9vyia29.wandb ADDED
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+ - --output_dir=/home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
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+ root: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
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Abs_6D + DeltaEE/RKD_TimewarpVAE/LAPstyle_linear_6K/wandb/run-20260721_182104-a9vyia29/files/output.log ADDED
@@ -0,0 +1,102 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ INFO 2026-07-21 18:21:05 db_utils.py:121 Logs will be synced with wandb.
2
+ INFO 2026-07-21 18:21:05 db_utils.py:122 Track this run --> https://wandb.ai/minje227_hyu-hanyang-university/lerobot/runs/a9vyia29
3
+ INFO 2026-07-21 18:21:05 ot_train.py:298 Creating dataset
4
+ INFO 2026-07-21 18:21:07 ot_train.py:332 Creating policy
5
+ INFO 2026-07-21 18:21:07 ng_groot.py:191 The Groot policy wraps NVIDIA's GR00T n1.7 model. Loading pretrained model from: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K/checkpoints/030000/pretrained_model
6
+ INFO 2026-07-21 18:21:07 ng_groot.py:225 Detected fine-tuned LeRobot checkpoint, loading with state dict...
7
+ Fetching 27 files: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 27/27 [00:00<00:00, 5089.49it/s]
8
+ `torch_dtype` is deprecated! Use `dtype` instead!
9
+ Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 1031/1031 [00:00<00:00, 1211.09it/s]
10
+ Loading weights from local directory
11
+ INFO 2026-07-21 18:21:21 ot_train.py:405 Creating optimizer and scheduler
12
+ INFO 2026-07-21 18:21:24 ot_train.py:103 INSIGHT phase transition: index=1 name=fm_only range=[6000,60000) trainable_params=1620515968
13
+ INFO 2026-07-21 18:21:24 ot_train.py:439 Output dir: /home/ext_minje/groot_insight/train_ckpt/Abs_6D + DeltaEE/restarts/20260719_231636_rerun_save30k60k/LAPstyle_linear_6K
14
+ INFO 2026-07-21 18:21:24 ot_train.py:446 cfg.steps=60000 (60K)
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+ INFO 2026-07-21 18:21:24 ot_train.py:447 dataset.num_frames=218367 (218K)
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+ INFO 2026-07-21 18:21:24 ot_train.py:448 dataset.num_episodes=4930
17
+ INFO 2026-07-21 18:21:24 ot_train.py:451 Effective batch size: 128 x 1 = 128
18
+ INFO 2026-07-21 18:21:24 ot_train.py:452 num_learnable_params=1620515968 (2B)
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+ INFO 2026-07-21 18:21:24 ot_train.py:453 num_total_params=3145712033 (3B)
20
+ INFO 2026-07-21 18:21:24 ot_train.py:494 Resuming data order at epoch 26, sample 82688
21
+ Training: 0%| | 0/30000 [00:00<?, ?step/s]INFO 2026-07-21 18:21:25 ot_train.py:604 Start offline training on a fixed dataset, with effective batch size: 128
22
+ Training: 1%| | 200/30000 [08:50<20:03:02, 2.42s/step]INFO 2026-07-21 18:30:15 ot_train.py:649 step:30K smpl:4M ep:87K epch:17.70 loss:0.020 grdn:0.170 lr:5.8e-05 updt_s:1.477 data_s:1.172 smp/s:48 mem_gb:52.85
23
+ Training: 1%|▏ | 400/30000 [18:06<20:56:20, 2.55s/step]INFO 2026-07-21 18:39:32 ot_train.py:649 step:30K smpl:4M ep:88K epch:17.82 loss:0.019 grdn:0.165 lr:5.8e-05 updt_s:1.666 data_s:1.111 smp/s:46 mem_gb:52.85
24
+ Training: 2%|▏ | 600/30000 [27:29<19:06:12, 2.34s/step]INFO 2026-07-21 18:48:54 ot_train.py:649 step:31K smpl:4M ep:88K epch:17.94 loss:0.019 grdn:0.167 lr:5.7e-05 updt_s:1.657 data_s:1.153 smp/s:46 mem_gb:52.78
25
+ Training: 3%|β–Ž | 800/30000 [35:03<18:36:20, 2.29s/step]INFO 2026-07-21 18:56:28 ot_train.py:649 step:31K smpl:4M ep:89K epch:18.05 loss:0.019 grdn:0.179 lr:5.7e-05 updt_s:1.206 data_s:1.059 smp/s:57 mem_gb:52.88
26
+ Training: 3%|β–Ž | 1000/30000 [42:36<18:21:53, 2.28s/step]INFO 2026-07-21 19:04:01 ot_train.py:649 step:31K smpl:4M ep:90K epch:18.17 loss:0.019 grdn:0.165 lr:5.6e-05 updt_s:1.207 data_s:1.056 smp/s:57 mem_gb:52.88
27
+ Training: 4%|▍ | 1200/30000 [50:14<18:07:42, 2.27s/step]INFO 2026-07-21 19:11:39 ot_train.py:649 step:31K smpl:4M ep:90K epch:18.29 loss:0.019 grdn:0.170 lr:5.6e-05 updt_s:1.216 data_s:1.069 smp/s:56 mem_gb:52.88
28
+ Training: 5%|▍ | 1400/30000 [57:48<17:56:31, 2.26s/step]INFO 2026-07-21 19:19:13 ot_train.py:649 step:31K smpl:4M ep:91K epch:18.41 loss:0.020 grdn:0.186 lr:5.5e-05 updt_s:1.216 data_s:1.053 smp/s:56 mem_gb:52.88
29
+ Training: 5%|β–Œ | 1600/30000 [1:05:24<17:20:27, 2.20s/step]INFO 2026-07-21 19:26:50 ot_train.py:649 step:32K smpl:4M ep:91K epch:18.52 loss:0.019 grdn:0.164 lr:5.4e-05 updt_s:1.211 data_s:1.066 smp/s:56 mem_gb:52.88
30
+ Training: 6%|β–Œ | 1800/30000 [1:13:00<17:44:06, 2.26s/step]INFO 2026-07-21 19:34:26 ot_train.py:649 step:32K smpl:4M ep:92K epch:18.64 loss:0.018 grdn:0.159 lr:5.4e-05 updt_s:1.198 data_s:1.080 smp/s:56 mem_gb:52.79
31
+ Training: 7%|β–‹ | 2000/30000 [1:20:32<17:15:06, 2.22s/step]INFO 2026-07-21 19:41:58 ot_train.py:649 step:32K smpl:4M ep:92K epch:18.76 loss:0.017 grdn:0.155 lr:5.3e-05 updt_s:1.204 data_s:1.053 smp/s:57 mem_gb:52.88
32
+ Training: 7%|β–‹ | 2200/30000 [1:28:03<17:24:18, 2.25s/step]INFO 2026-07-21 19:49:29 ot_train.py:649 step:32K smpl:4M ep:93K epch:18.87 loss:0.018 grdn:0.161 lr:5.3e-05 updt_s:1.203 data_s:1.048 smp/s:57 mem_gb:52.88
33
+ Training: 8%|β–Š | 2400/30000 [1:35:33<17:24:38, 2.27s/step]INFO 2026-07-21 19:56:59 ot_train.py:649 step:32K smpl:4M ep:94K epch:18.99 loss:0.018 grdn:0.158 lr:5.2e-05 updt_s:1.207 data_s:1.040 smp/s:57 mem_gb:52.88
34
+ Training: 9%|β–Š | 2600/30000 [1:43:07<17:22:49, 2.28s/step]INFO 2026-07-21 20:04:32 ot_train.py:649 step:33K smpl:4M ep:94K epch:19.11 loss:0.018 grdn:0.164 lr:5.1e-05 updt_s:1.210 data_s:1.052 smp/s:57 mem_gb:52.88
35
+ Training: 9%|β–‰ | 2800/30000 [1:50:38<17:11:29, 2.28s/step]INFO 2026-07-21 20:12:04 ot_train.py:649 step:33K smpl:4M ep:95K epch:19.23 loss:0.018 grdn:0.163 lr:5.1e-05 updt_s:1.203 data_s:1.052 smp/s:57 mem_gb:52.79
36
+ Training: 10%|β–ˆ | 3000/30000 [1:58:14<16:58:07, 2.26s/step]INFO 2026-07-21 20:19:39 ot_train.py:649 step:33K smpl:4M ep:95K epch:19.34 loss:0.017 grdn:0.149 lr:5.0e-05 updt_s:1.219 data_s:1.056 smp/s:56 mem_gb:52.88
37
+ Training: 11%|β–ˆ | 3200/30000 [2:05:54<16:59:17, 2.28s/step]INFO 2026-07-21 20:27:19 ot_train.py:649 step:33K smpl:4M ep:96K epch:19.46 loss:0.016 grdn:0.148 lr:5.0e-05 updt_s:1.226 data_s:1.070 smp/s:56 mem_gb:52.88
38
+ Training: 11%|β–ˆβ– | 3400/30000 [2:13:27<16:33:16, 2.24s/step]INFO 2026-07-21 20:34:52 ot_train.py:649 step:33K smpl:4M ep:97K epch:19.58 loss:0.017 grdn:0.152 lr:4.9e-05 updt_s:1.209 data_s:1.052 smp/s:57 mem_gb:52.88
39
+ Training: 12%|β–ˆβ– | 3600/30000 [2:20:58<16:22:14, 2.23s/step]INFO 2026-07-21 20:42:23 ot_train.py:649 step:34K smpl:4M ep:97K epch:19.70 loss:0.017 grdn:0.158 lr:4.9e-05 updt_s:1.210 data_s:1.041 smp/s:57 mem_gb:52.88
40
+ Training: 13%|β–ˆβ–Ž | 3800/30000 [2:28:31<16:45:45, 2.30s/step]INFO 2026-07-21 20:49:56 ot_train.py:649 step:34K smpl:4M ep:98K epch:19.81 loss:0.017 grdn:0.153 lr:4.8e-05 updt_s:1.214 data_s:1.048 smp/s:57 mem_gb:52.88
41
+ Training: 13%|β–ˆβ–Ž | 4000/30000 [2:36:03<16:16:06, 2.25s/step]INFO 2026-07-21 20:57:29 ot_train.py:649 step:34K smpl:4M ep:98K epch:19.93 loss:0.016 grdn:0.149 lr:4.7e-05 updt_s:1.207 data_s:1.053 smp/s:57 mem_gb:52.79
42
+ Training: 14%|β–ˆβ– | 4200/30000 [2:43:37<15:55:48, 2.22s/step]INFO 2026-07-21 21:05:03 ot_train.py:649 step:34K smpl:4M ep:99K epch:20.05 loss:0.016 grdn:0.152 lr:4.7e-05 updt_s:1.219 data_s:1.046 smp/s:57 mem_gb:52.88
43
+ Training: 15%|β–ˆβ– | 4400/30000 [2:51:10<16:25:39, 2.31s/step]INFO 2026-07-21 21:12:35 ot_train.py:649 step:34K smpl:4M ep:99K epch:20.16 loss:0.015 grdn:0.140 lr:4.6e-05 updt_s:1.215 data_s:1.046 smp/s:57 mem_gb:52.88
44
+ Training: 15%|β–ˆβ–Œ | 4600/30000 [2:58:39<15:40:58, 2.22s/step]INFO 2026-07-21 21:20:05 ot_train.py:649 step:35K smpl:4M ep:100K epch:20.28 loss:0.016 grdn:0.158 lr:4.6e-05 updt_s:1.208 data_s:1.035 smp/s:57 mem_gb:52.88
45
+ Training: 16%|β–ˆβ–Œ | 4800/30000 [3:06:09<15:43:04, 2.25s/step]INFO 2026-07-21 21:27:34 ot_train.py:649 step:35K smpl:4M ep:101K epch:20.40 loss:0.016 grdn:0.148 lr:4.5e-05 updt_s:1.206 data_s:1.036 smp/s:57 mem_gb:52.88
46
+ Training: 17%|β–ˆβ–‹ | 5000/30000 [3:13:41<17:44:17, 2.55s/step]INFO 2026-07-21 21:35:06 ot_train.py:649 step:35K smpl:4M ep:101K epch:20.52 loss:0.016 grdn:0.149 lr:4.4e-05 updt_s:1.207 data_s:1.050 smp/s:57 mem_gb:52.79
47
+ Training: 17%|β–ˆβ–‹ | 5200/30000 [3:21:11<15:33:11, 2.26s/step]INFO 2026-07-21 21:42:37 ot_train.py:649 step:35K smpl:5M ep:102K epch:20.63 loss:0.015 grdn:0.142 lr:4.4e-05 updt_s:1.212 data_s:1.036 smp/s:57 mem_gb:52.88
48
+ Training: 18%|β–ˆβ–Š | 5400/30000 [3:28:48<17:39:08, 2.58s/step]INFO 2026-07-21 21:50:13 ot_train.py:649 step:35K smpl:5M ep:102K epch:20.75 loss:0.015 grdn:0.147 lr:4.3e-05 updt_s:1.223 data_s:1.056 smp/s:56 mem_gb:52.88
49
+ Training: 19%|β–ˆβ–Š | 5600/30000 [3:36:36<15:35:06, 2.30s/step]INFO 2026-07-21 21:58:01 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.87 loss:0.015 grdn:0.141 lr:4.3e-05 updt_s:1.245 data_s:1.093 smp/s:55 mem_gb:52.88
50
+ Training: 19%|β–ˆβ–‰ | 5800/30000 [3:44:09<15:11:15, 2.26s/step]INFO 2026-07-21 22:05:35 ot_train.py:649 step:36K smpl:5M ep:103K epch:20.98 loss:0.015 grdn:0.142 lr:4.2e-05 updt_s:1.213 data_s:1.051 smp/s:57 mem_gb:52.88
51
+ Training: 20%|β–ˆβ–ˆ | 6000/30000 [3:51:38<14:50:08, 2.23s/step]INFO 2026-07-21 22:13:04 ot_train.py:649 step:36K smpl:5M ep:104K epch:21.10 loss:0.015 grdn:0.144 lr:4.2e-05 updt_s:1.201 data_s:1.039 smp/s:57 mem_gb:52.88
52
+ Training: 21%|β–ˆβ–ˆ | 6200/30000 [3:59:06<14:56:02, 2.26s/step]INFO 2026-07-21 22:20:32 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.22 loss:0.015 grdn:0.147 lr:4.1e-05 updt_s:1.199 data_s:1.039 smp/s:57 mem_gb:52.79
53
+ Training: 21%|β–ˆβ–ˆβ– | 6400/30000 [4:06:35<14:55:12, 2.28s/step]INFO 2026-07-21 22:28:01 ot_train.py:649 step:36K smpl:5M ep:105K epch:21.34 loss:0.014 grdn:0.140 lr:4.0e-05 updt_s:1.208 data_s:1.033 smp/s:57 mem_gb:52.88
54
+ Training: 22%|β–ˆβ–ˆβ– | 6600/30000 [4:14:04<14:32:50, 2.24s/step]INFO 2026-07-21 22:35:29 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.45 loss:0.014 grdn:0.137 lr:4.0e-05 updt_s:1.203 data_s:1.036 smp/s:57 mem_gb:52.88
55
+ Training: 23%|β–ˆβ–ˆβ–Ž | 6800/30000 [4:21:35<14:29:48, 2.25s/step]INFO 2026-07-21 22:43:00 ot_train.py:649 step:37K smpl:5M ep:106K epch:21.57 loss:0.014 grdn:0.138 lr:3.9e-05 updt_s:1.212 data_s:1.039 smp/s:57 mem_gb:52.88
56
+ Training: 23%|β–ˆβ–ˆβ–Ž | 7000/30000 [4:29:06<14:20:07, 2.24s/step]INFO 2026-07-21 22:50:32 ot_train.py:649 step:37K smpl:5M ep:107K epch:21.69 loss:0.014 grdn:0.146 lr:3.9e-05 updt_s:1.206 data_s:1.047 smp/s:57 mem_gb:52.88
57
+ Training: 24%|β–ˆβ–ˆβ– | 7200/30000 [4:36:37<14:15:35, 2.25s/step]INFO 2026-07-21 22:58:03 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.81 loss:0.014 grdn:0.138 lr:3.8e-05 updt_s:1.204 data_s:1.049 smp/s:57 mem_gb:52.88
58
+ Training: 25%|β–ˆβ–ˆβ– | 7400/30000 [4:44:10<14:28:03, 2.30s/step]INFO 2026-07-21 23:05:35 ot_train.py:649 step:37K smpl:5M ep:108K epch:21.92 loss:0.014 grdn:0.145 lr:3.8e-05 updt_s:1.207 data_s:1.050 smp/s:57 mem_gb:52.79
59
+ Training: 25%|β–ˆβ–ˆβ–Œ | 7600/30000 [4:51:49<14:57:25, 2.40s/step]INFO 2026-07-21 23:13:14 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.04 loss:0.014 grdn:0.135 lr:3.7e-05 updt_s:1.225 data_s:1.068 smp/s:56 mem_gb:52.88
60
+ Training: 26%|β–ˆβ–ˆβ–Œ | 7800/30000 [4:59:45<14:47:54, 2.40s/step]INFO 2026-07-21 23:21:10 ot_train.py:649 step:38K smpl:5M ep:109K epch:22.16 loss:0.013 grdn:0.131 lr:3.6e-05 updt_s:1.255 data_s:1.122 smp/s:54 mem_gb:52.88
61
+ Training: 27%|β–ˆβ–ˆβ–‹ | 8000/30000 [5:07:37<13:59:40, 2.29s/step]INFO 2026-07-21 23:29:02 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.27 loss:0.013 grdn:0.135 lr:3.6e-05 updt_s:1.243 data_s:1.113 smp/s:54 mem_gb:52.88
62
+ Training: 27%|β–ˆβ–ˆβ–‹ | 8200/30000 [5:15:55<14:59:28, 2.48s/step]INFO 2026-07-21 23:37:21 ot_train.py:649 step:38K smpl:5M ep:110K epch:22.39 loss:0.013 grdn:0.137 lr:3.5e-05 updt_s:1.286 data_s:1.202 smp/s:51 mem_gb:52.88
63
+ Training: 28%|β–ˆβ–ˆβ–Š | 8400/30000 [5:23:49<14:31:43, 2.42s/step]INFO 2026-07-21 23:45:15 ot_train.py:649 step:38K smpl:5M ep:111K epch:22.51 loss:0.013 grdn:0.132 lr:3.5e-05 updt_s:1.239 data_s:1.128 smp/s:54 mem_gb:52.79
64
+ Training: 29%|β–ˆβ–ˆβ–Š | 8600/30000 [5:31:43<14:10:23, 2.38s/step]INFO 2026-07-21 23:53:09 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.63 loss:0.012 grdn:0.131 lr:3.4e-05 updt_s:1.254 data_s:1.112 smp/s:54 mem_gb:52.88
65
+ Training: 29%|β–ˆβ–ˆβ–‰ | 8800/30000 [5:39:27<13:13:40, 2.25s/step]INFO 2026-07-22 00:00:53 ot_train.py:649 step:39K smpl:5M ep:112K epch:22.74 loss:0.012 grdn:0.127 lr:3.4e-05 updt_s:1.242 data_s:1.074 smp/s:55 mem_gb:52.88
66
+ Training: 30%|β–ˆβ–ˆβ–ˆ | 9000/30000 [5:47:30<14:20:24, 2.46s/step]INFO 2026-07-22 00:08:56 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.86 loss:0.013 grdn:0.128 lr:3.3e-05 updt_s:1.230 data_s:1.180 smp/s:53 mem_gb:52.88
67
+ Training: 31%|β–ˆβ–ˆβ–ˆ | 9200/30000 [5:55:57<13:53:09, 2.40s/step]INFO 2026-07-22 00:17:22 ot_train.py:649 step:39K smpl:5M ep:113K epch:22.98 loss:0.013 grdn:0.139 lr:3.3e-05 updt_s:1.259 data_s:1.271 smp/s:51 mem_gb:52.88
68
+ Training: 31%|β–ˆβ–ˆβ–ˆβ– | 9400/30000 [6:04:40<13:39:54, 2.39s/step]INFO 2026-07-22 00:26:05 ot_train.py:649 step:39K smpl:5M ep:114K epch:23.10 loss:0.013 grdn:0.135 lr:3.2e-05 updt_s:1.263 data_s:1.349 smp/s:49 mem_gb:52.88
69
+ Training: 32%|β–ˆβ–ˆβ–ˆβ– | 9600/30000 [6:13:04<14:04:49, 2.48s/step]INFO 2026-07-22 00:34:30 ot_train.py:649 step:40K smpl:5M ep:114K epch:23.21 loss:0.013 grdn:0.133 lr:3.2e-05 updt_s:1.264 data_s:1.254 smp/s:51 mem_gb:52.79
70
+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 9800/30000 [6:22:34<16:44:33, 2.98s/step]INFO 2026-07-22 00:43:59 ot_train.py:649 step:40K smpl:5M ep:115K epch:23.33 loss:0.012 grdn:0.127 lr:3.1e-05 updt_s:1.363 data_s:1.479 smp/s:45 mem_gb:52.88
71
+ Training: 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10000/30000 [6:33:46<15:51:53, 2.86s/step]INFO 2026-07-22 00:55:12 ot_train.py:649 step:40K smpl:5M ep:116K epch:23.45 loss:0.012 grdn:0.122 lr:3.0e-05 updt_s:1.426 data_s:1.933 smp/s:38 mem_gb:52.88
72
+ Training: 34%|β–ˆβ–ˆβ–ˆβ– | 10200/30000 [6:42:35<13:24:13, 2.44s/step]INFO 2026-07-22 01:04:00 ot_train.py:649 step:40K smpl:5M ep:116K epch:23.56 loss:0.012 grdn:0.131 lr:3.0e-05 updt_s:1.309 data_s:1.329 smp/s:49 mem_gb:52.88
73
+ Training: 35%|β–ˆβ–ˆβ–ˆβ– | 10400/30000 [6:51:15<15:10:38, 2.79s/step]INFO 2026-07-22 01:12:40 ot_train.py:649 step:40K smpl:5M ep:117K epch:23.68 loss:0.012 grdn:0.122 lr:2.9e-05 updt_s:1.286 data_s:1.310 smp/s:49 mem_gb:52.88
74
+ Training: 35%|β–ˆβ–ˆβ–ˆβ–Œ | 10600/30000 [6:59:31<12:40:06, 2.35s/step]INFO 2026-07-22 01:20:56 ot_train.py:649 step:41K smpl:5M ep:117K epch:23.80 loss:0.012 grdn:0.128 lr:2.9e-05 updt_s:1.286 data_s:1.189 smp/s:52 mem_gb:52.88
75
+ Training: 36%|β–ˆβ–ˆβ–ˆβ–Œ | 10800/30000 [7:08:16<16:02:07, 3.01s/step]INFO 2026-07-22 01:29:41 ot_train.py:649 step:41K smpl:5M ep:118K epch:23.92 loss:0.011 grdn:0.128 lr:2.8e-05 updt_s:1.357 data_s:1.261 smp/s:49 mem_gb:52.79
76
+ Training: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11000/30000 [7:17:40<12:24:49, 2.35s/step]INFO 2026-07-22 01:39:05 ot_train.py:649 step:41K smpl:5M ep:118K epch:24.03 loss:0.011 grdn:0.119 lr:2.8e-05 updt_s:1.637 data_s:1.180 smp/s:45 mem_gb:52.88
77
+ Training: 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11200/30000 [7:26:05<17:02:39, 3.26s/step]INFO 2026-07-22 01:47:31 ot_train.py:649 step:41K smpl:5M ep:119K epch:24.15 loss:0.011 grdn:0.123 lr:2.7e-05 updt_s:1.371 data_s:1.153 smp/s:51 mem_gb:52.88
78
+ Training: 38%|β–ˆβ–ˆβ–ˆβ–Š | 11266/30000 [7:29:22<17:35:09, 3.38s/step]Traceback (most recent call last):
79
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1453, in <module>
80
+ main()
81
+ File "/home/ext_minje/clvla/benchmarks/INSIGHT/my_scripts/lerobot_train_yaml.py", line 1449, in main
82
+ train_module.main()
83
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 816, in main
84
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/configs/parser.py", line 320, in wrapper_inner
85
+ response = fn(cfg, *args, **kwargs)
86
+ ^^^^^^^^^^^^^^^^^^^^^^^^
87
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/scripts/lerobot_train.py", line 615, in train
88
+ wandb_logger.log_dict(wandb_log_dict, step)
89
+ ^^^^^^^^^^^^^^^^^^^
90
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/processor/pipeline.py", line 299, in __call__
91
+ transformed_transition = self._forward(transition)
92
+ ^^^^^^^^^^^^^^^^^^^^^^^^^
93
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/processor/pipeline.py", line 316, in _forward
94
+ transition = processor_step(transition)
95
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^
96
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/policies/groot/processor_groot.py", line 2158, in __call__
97
+ sample_images = self._build_sample_images(video, batch_size, target_device)
98
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
99
+ File "/home/ext_minje/clvla/lerobot/src/lerobot/policies/groot/processor_groot.py", line 2118, in _build_sample_images
100
+ video_t = video if torch.is_tensor(video) else torch.from_numpy(np.ascontiguousarray(video))
101
+ ^^^^^^^^^^^^^^^^^^^^^^^^^^^
102
+ KeyboardInterrupt