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b/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task05_a10/eval.log @@ -0,0 +1,1124 @@ + +[2026-09-24T15:43:14+09:00] COMMAND: /home/tml_lab/miniforge3/envs/lerobot/bin/python -m lerobot.scripts.lerobot_eval --policy.path=/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_035000/pretrained_model --policy.device=cuda --policy.n_action_steps=10 --env.type=libero --env.task=libero_object '--env.task_ids=[5]' --env.max_parallel_tasks=1 --eval.n_episodes=50 --eval.batch_size=50 --eval.use_async_envs=true --seed=3000 '--rename_map={"observation.images.image":"observation.images.camera1","observation.images.image2":"observation.images.camera2"}' --output_dir=/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task05_a10 --job_name=smolvla_seq_libero_object_2e-3_split2_libero_object_task06_035000_task05 +INFO 2026-09-24 15:43:27 bot_eval.py:771 {'env': {'camera_name': 'agentview_image,robot0_eye_in_hand_image', + 'camera_name_mapping': None, + 'control_mode': 'relative', + 'disable_env_checker': True, + 'episode_length': None, + 'features': {'action': {'shape': (7,), + 'type': }, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_035000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_035000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 15:43:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task05_a10 +INFO 2026-09-24 15:43:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 15:43:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 15:43:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 15:43:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 15:43:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-24 15:43:28 bot_eval.py:790 Making policy. +INFO 2026-09-24 15:43:28 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_035000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_035000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 15:48:50 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_035000/eval_task06_a10 +INFO 2026-09-24 15:48:50 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 15:48:50 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 15:48:50 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 15:48:50 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 15:48:50 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-24 15:48:50 bot_eval.py:790 Making policy. +INFO 2026-09-24 15:48:50 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 22:55:41 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task00_a10 +INFO 2026-09-24 22:55:41 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 22:55:41 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 22:55:41 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 22:55:41 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 22:55:41 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-24 22:55:42 bot_eval.py:790 Making policy. +INFO 2026-09-24 22:55:42 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:00:30 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task01_a10 +INFO 2026-09-24 23:00:30 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:00:30 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:00:30 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:00:30 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:00:30 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-24 23:00:31 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:00:31 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:05:31 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task02_a10 +INFO 2026-09-24 23:05:31 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:05:31 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:05:31 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:05:31 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:05:31 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-24 23:05:31 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:05:31 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:10:25 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task03_a10 +INFO 2026-09-24 23:10:25 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:10:25 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:10:25 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:10:25 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:10:25 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-24 23:10:26 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:10:26 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:15:32 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task04_a10 +INFO 2026-09-24 23:15:32 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:15:32 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:15:32 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:15:32 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:15:32 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-24 23:15:32 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:15:32 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:20:29 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task05_a10 +INFO 2026-09-24 23:20:29 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:20:29 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:20:29 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:20:29 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:20:29 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-24 23:20:29 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:20:29 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:25:14 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task06_a10 +INFO 2026-09-24 23:25:14 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:25:14 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:25:14 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:25:14 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:25:14 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-24 23:25:14 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:25:14 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:29:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task07_a10 +INFO 2026-09-24 23:29:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:29:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:29:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:29:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:29:36 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-24 23:29:37 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:29:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:34:23 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task08_a10 +INFO 2026-09-24 23:34:23 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:34:23 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:34:23 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:34:23 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:34:23 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-24 23:34:24 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:34:24 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task06_085000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task06_085000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:39:25 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task06_085000/eval_task09_a10 +INFO 2026-09-24 23:39:25 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:39:25 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:39:25 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:39:25 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:39:25 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=9 | n_envs=50 +INFO 2026-09-24 23:39:26 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:39:26 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 15:52:57 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task00_a10 +INFO 2026-09-24 15:52:57 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 15:52:57 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 15:52:57 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 15:52:57 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 15:52:57 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-24 15:52:58 bot_eval.py:790 Making policy. +INFO 2026-09-24 15:52:58 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 15:57:45 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task01_a10 +INFO 2026-09-24 15:57:45 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 15:57:45 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 15:57:45 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 15:57:45 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 15:57:45 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-24 15:57:45 bot_eval.py:790 Making policy. +INFO 2026-09-24 15:57:45 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:02:49 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task02_a10 +INFO 2026-09-24 16:02:49 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:02:49 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:02:49 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:02:49 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:02:49 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-24 16:02:49 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:02:49 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:07:39 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task03_a10 +INFO 2026-09-24 16:07:39 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:07:39 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:07:39 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:07:39 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:07:39 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-24 16:07:40 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:07:40 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:12:32 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task04_a10 +INFO 2026-09-24 16:12:32 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:12:32 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:12:32 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:12:32 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:12:32 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-24 16:12:32 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:12:32 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:17:17 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task05_a10 +INFO 2026-09-24 16:17:17 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:17:17 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:17:17 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:17:17 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:17:17 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-24 16:17:17 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:17:17 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:22:08 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task06_a10 +INFO 2026-09-24 16:22:08 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:22:08 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:22:08 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:22:08 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:22:08 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-24 16:22:09 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:22:09 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_040000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_040000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:27:03 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_040000/eval_task07_a10 +INFO 2026-09-24 16:27:03 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:27:03 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:27:03 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:27:03 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:27:03 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-24 16:27:03 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:27:03 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:44:23 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task00_a10 +INFO 2026-09-24 23:44:23 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:44:23 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:44:23 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:44:23 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:44:23 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-24 23:44:23 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:44:23 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:49:20 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task01_a10 +INFO 2026-09-24 23:49:20 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:49:20 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:49:20 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:49:20 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:49:20 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-24 23:49:20 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:49:20 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:54:14 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task02_a10 +INFO 2026-09-24 23:54:14 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:54:14 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:54:14 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:54:14 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:54:14 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-24 23:54:15 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:54:15 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 23:59:18 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task03_a10 +INFO 2026-09-24 23:59:18 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 23:59:18 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 23:59:18 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 23:59:18 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 23:59:18 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-24 23:59:19 bot_eval.py:790 Making policy. +INFO 2026-09-24 23:59:19 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:04:10 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task04_a10 +INFO 2026-09-25 00:04:10 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:04:10 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:04:10 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:04:10 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:04:10 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-25 00:04:11 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:04:11 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:08:59 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task05_a10 +INFO 2026-09-25 00:08:59 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:08:59 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:08:59 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:08:59 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:08:59 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-25 00:08:59 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:08:59 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:13:48 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task06_a10 +INFO 2026-09-25 00:13:48 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:13:48 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:13:48 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:13:48 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:13:48 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-25 00:13:48 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:13:48 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:18:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task07_a10 +INFO 2026-09-25 00:18:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:18:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:18:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:18:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:18:37 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-25 00:18:37 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:18:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:23:11 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task08_a10 +INFO 2026-09-25 00:23:11 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:23:11 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:23:11 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:23:11 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:23:11 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-25 00:23:11 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:23:11 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task07_090000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task07_090000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:28:48 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task07_090000/eval_task09_a10 +INFO 2026-09-25 00:28:48 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:28:48 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:28:48 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:28:48 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:28:48 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=9 | n_envs=50 +INFO 2026-09-25 00:28:49 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:28:49 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:31:26 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task00_a10 +INFO 2026-09-24 16:31:26 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:31:26 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:31:26 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:31:26 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:31:26 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-24 16:31:26 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:31:26 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:36:01 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task01_a10 +INFO 2026-09-24 16:36:01 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:36:01 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:36:01 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:36:01 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:36:01 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-24 16:36:03 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:36:03 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:40:53 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task02_a10 +INFO 2026-09-24 16:40:53 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:40:53 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:40:53 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:40:53 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:40:53 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-24 16:40:53 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:40:53 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:45:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task03_a10 +INFO 2026-09-24 16:45:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:45:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:45:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:45:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:45:36 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-24 16:45:37 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:45:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:50:13 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task04_a10 +INFO 2026-09-24 16:50:13 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:50:13 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:50:13 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:50:13 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:50:13 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-24 16:50:13 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:50:13 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:54:50 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task05_a10 +INFO 2026-09-24 16:54:50 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:54:50 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:54:50 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:54:50 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:54:50 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-24 16:54:50 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:54:50 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 16:58:36 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task06_a10 +INFO 2026-09-24 16:58:36 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 16:58:36 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 16:58:36 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 16:58:36 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 16:58:37 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-24 16:58:37 bot_eval.py:790 Making policy. +INFO 2026-09-24 16:58:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:03:03 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task07_a10 +INFO 2026-09-24 17:03:03 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:03:03 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:03:03 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:03:03 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:03:03 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-24 17:03:03 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:03:03 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_045000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_045000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:07:26 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_045000/eval_task08_a10 +INFO 2026-09-24 17:07:26 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:07:26 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:07:26 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:07:26 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:07:26 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-24 17:07:27 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:07:27 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:34:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task00_a10 +INFO 2026-09-25 00:34:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:34:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:34:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:34:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:34:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-25 00:34:27 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:34:27 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:41:07 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task01_a10 +INFO 2026-09-25 00:41:07 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:41:07 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:41:07 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:41:07 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:41:07 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-25 00:41:08 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:41:08 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:47:26 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task02_a10 +INFO 2026-09-25 00:47:26 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:47:26 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:47:26 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:47:26 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:47:26 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-25 00:47:26 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:47:26 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:53:26 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task03_a10 +INFO 2026-09-25 00:53:26 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:53:26 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:53:26 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:53:26 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:53:26 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-25 00:53:27 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:53:27 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 00:58:31 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task04_a10 +INFO 2026-09-25 00:58:31 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 00:58:31 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 00:58:31 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 00:58:31 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 00:58:31 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-25 00:58:32 bot_eval.py:790 Making policy. +INFO 2026-09-25 00:58:32 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:04:08 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task05_a10 +INFO 2026-09-25 01:04:08 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:04:08 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:04:08 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:04:08 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:04:08 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-25 01:04:09 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:04:09 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:10:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task06_a10 +INFO 2026-09-25 01:10:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:10:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:10:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:10:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:10:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-25 01:10:28 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:10:28 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:16:18 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task07_a10 +INFO 2026-09-25 01:16:18 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:16:18 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:16:18 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:16:18 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:16:18 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-25 01:16:19 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:16:19 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:22:13 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task08_a10 +INFO 2026-09-25 01:22:13 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:22:13 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:22:13 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:22:13 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:22:13 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-25 01:22:13 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:22:13 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task08_095000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task08_095000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:27:49 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task08_095000/eval_task09_a10 +INFO 2026-09-25 01:27:49 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:27:49 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:27:49 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:27:49 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:27:49 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=9 | n_envs=50 +INFO 2026-09-25 01:27:50 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:27:50 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:11:42 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task00_a10 +INFO 2026-09-24 17:11:42 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:11:42 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:11:42 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:11:42 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:11:42 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-24 17:11:42 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:11:42 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:16:35 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task01_a10 +INFO 2026-09-24 17:16:35 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:16:35 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:16:35 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:16:35 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:16:35 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-24 17:16:37 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:16:37 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:20:54 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task02_a10 +INFO 2026-09-24 17:20:54 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:20:54 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:20:54 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:20:54 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:20:54 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-24 17:20:54 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:20:54 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:25:24 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task03_a10 +INFO 2026-09-24 17:25:24 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:25:24 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:25:24 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:25:24 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:25:24 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-24 17:25:25 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:25:25 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:30:02 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task04_a10 +INFO 2026-09-24 17:30:02 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:30:02 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:30:02 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:30:02 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:30:02 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-24 17:30:03 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:30:03 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:34:41 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task05_a10 +INFO 2026-09-24 17:34:41 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:34:41 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:34:41 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:34:41 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:34:41 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-24 17:34:41 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:34:41 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:39:12 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task06_a10 +INFO 2026-09-24 17:39:12 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:39:12 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:39:12 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:39:12 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:39:12 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-24 17:39:12 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:39:12 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:44:13 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task07_a10 +INFO 2026-09-24 17:44:13 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:44:13 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:44:13 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:44:13 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:44:13 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-24 17:44:14 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:44:14 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:49:33 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task08_a10 +INFO 2026-09-24 17:49:33 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:49:33 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:49:33 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:49:33 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:49:33 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-24 17:49:33 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:49:33 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_050000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_050000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:54:17 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_050000/eval_task09_a10 +INFO 2026-09-24 17:54:17 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:54:17 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:54:17 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:54:17 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:54:17 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=9 | n_envs=50 +INFO 2026-09-24 17:54:18 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:54:18 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:34:01 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task00_a10 +INFO 2026-09-25 01:34:01 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:34:01 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:34:01 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:34:01 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:34:01 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=0 | n_envs=50 +INFO 2026-09-25 01:34:01 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:34:01 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:40:05 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task01_a10 +INFO 2026-09-25 01:40:05 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:40:05 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:40:05 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:40:05 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:40:05 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=1 | n_envs=50 +INFO 2026-09-25 01:40:06 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:40:06 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:45:51 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task02_a10 +INFO 2026-09-25 01:45:51 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:45:51 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:45:51 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:45:51 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:45:51 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=2 | n_envs=50 +INFO 2026-09-25 01:45:52 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:45:52 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:52:07 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task03_a10 +INFO 2026-09-25 01:52:07 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:52:07 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:52:07 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:52:07 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:52:07 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=3 | n_envs=50 +INFO 2026-09-25 01:52:08 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:52:08 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 01:58:23 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task04_a10 +INFO 2026-09-25 01:58:23 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 01:58:23 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 01:58:23 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 01:58:23 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 01:58:23 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=4 | n_envs=50 +INFO 2026-09-25 01:58:24 bot_eval.py:790 Making policy. +INFO 2026-09-25 01:58:24 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:03:55 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task05_a10 +INFO 2026-09-25 02:03:55 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:03:55 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:03:55 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:03:55 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:03:55 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=5 | n_envs=50 +INFO 2026-09-25 02:03:55 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:03:55 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:10:06 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task06_a10 +INFO 2026-09-25 02:10:06 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:10:06 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:10:06 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:10:06 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:10:06 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=6 | n_envs=50 +INFO 2026-09-25 02:10:06 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:10:06 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:15:49 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task07_a10 +INFO 2026-09-25 02:15:49 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:15:49 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:15:49 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:15:49 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:15:49 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=7 | n_envs=50 +INFO 2026-09-25 02:15:50 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:15:50 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:21:45 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task08_a10 +INFO 2026-09-25 02:21:45 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:21:45 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:21:45 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:21:45 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:21:45 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=8 | n_envs=50 +INFO 2026-09-25 02:21:46 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:21:46 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_object', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_object_2e-3_split2_libero_object_task09_100000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_object_2e-3_split2/checkpoints/libero_object_task09_100000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-25 02:27:39 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_object_2e-3_split2/libero_object_task09_100000/eval_task09_a10 +INFO 2026-09-25 02:27:39 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-25 02:27:39 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-25 02:27:39 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-25 02:27:39 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-25 02:27:39 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_object'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_object | task_id=9 | n_envs=50 +INFO 2026-09-25 02:27:40 bot_eval.py:790 Making policy. +INFO 2026-09-25 02:27:40 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_005000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_005000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_005000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 13:14:29 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_005000/eval_task00_a10 +INFO 2026-09-24 13:14:29 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 13:14:29 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 13:14:29 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 13:14:29 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 13:14:29 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=0 | n_envs=50 +INFO 2026-09-24 13:14:29 bot_eval.py:790 Making policy. +INFO 2026-09-24 13:14:29 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 17:59:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task00_a10 +INFO 2026-09-24 17:59:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 17:59:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 17:59:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 17:59:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 17:59:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=0 | n_envs=50 +INFO 2026-09-24 17:59:27 bot_eval.py:790 Making policy. +INFO 2026-09-24 17:59:27 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:03:30 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task01_a10 +INFO 2026-09-24 18:03:30 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:03:30 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:03:30 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:03:30 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:03:30 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=1 | n_envs=50 +INFO 2026-09-24 18:03:30 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:03:30 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [2]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task02', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task02_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:08:04 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task02_a10 +INFO 2026-09-24 18:08:04 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:08:04 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:08:04 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:08:04 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:08:04 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[2] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=2 | n_envs=50 +INFO 2026-09-24 18:08:04 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:08:04 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [3]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task03', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task03_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:12:46 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task03_a10 +INFO 2026-09-24 18:12:46 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:12:46 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:12:46 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:12:46 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:12:46 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[3] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=3 | n_envs=50 +INFO 2026-09-24 18:12:46 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:12:46 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [4]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task04', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task04_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:17:40 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task04_a10 +INFO 2026-09-24 18:17:40 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:17:40 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:17:40 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:17:40 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:17:40 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[4] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=4 | n_envs=50 +INFO 2026-09-24 18:17:40 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:17:40 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [5]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task05', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task05_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:22:38 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task05_a10 +INFO 2026-09-24 18:22:38 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:22:38 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:22:38 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:22:38 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:22:38 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[5] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=5 | n_envs=50 +INFO 2026-09-24 18:22:39 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:22:39 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [6]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task06', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task06_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:27:40 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task06_a10 +INFO 2026-09-24 18:27:40 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:27:40 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:27:40 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:27:40 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:27:40 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[6] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=6 | n_envs=50 +INFO 2026-09-24 18:27:41 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:27:41 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [7]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task07', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task07_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:32:27 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task07_a10 +INFO 2026-09-24 18:32:27 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:32:27 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:32:27 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:32:27 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:32:27 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[7] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=7 | n_envs=50 +INFO 2026-09-24 18:32:28 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:32:28 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [8]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task08', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task08_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:36:57 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task08_a10 +INFO 2026-09-24 18:36:57 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:36:57 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:36:57 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:36:57 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:36:57 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[8] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=8 | n_envs=50 +INFO 2026-09-24 18:36:57 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:36:57 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [9]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task00_055000_task09', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task09_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task00_055000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:41:23 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task00_055000/eval_task09_a10 +INFO 2026-09-24 18:41:23 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:41:23 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:41:23 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:41:23 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:41:23 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[9] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=9 | n_envs=50 +INFO 2026-09-24 18:41:24 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:41:24 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task01_010000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_010000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task01_010000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 13:20:28 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_010000/eval_task00_a10 +INFO 2026-09-24 13:20:28 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 13:20:28 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 13:20:28 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 13:20:28 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 13:20:28 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=0 | n_envs=50 +INFO 2026-09-24 13:20:28 bot_eval.py:790 Making policy. +INFO 2026-09-24 13:20:28 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [1]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task01_010000_task01', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_010000/eval_task01_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task01_010000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 13:25:04 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_010000/eval_task01_a10 +INFO 2026-09-24 13:25:04 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 13:25:04 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 13:25:04 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 13:25:04 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 13:25:04 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[1] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=1 | n_envs=50 +INFO 2026-09-24 13:25:04 bot_eval.py:790 Making policy. +INFO 2026-09-24 13:25:04 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00}, + 'pixels/agentview_image': {'shape': (360, 360, 3), + 'type': }, + 'pixels/robot0_eye_in_hand_image': {'shape': (360, + 360, + 3), + 'type': }, + 'robot_state/eef/mat': {'shape': (3, 3), + 'type': }, + 'robot_state/eef/pos': {'shape': (3,), + 'type': }, + 'robot_state/eef/quat': {'shape': (4,), + 'type': }, + 'robot_state/gripper/qpos': {'shape': (2,), + 'type': }, + 'robot_state/gripper/qvel': {'shape': (2,), + 'type': }, + 'robot_state/joints/pos': {'shape': (7,), + 'type': }, + 'robot_state/joints/vel': {'shape': (7,), + 'type': }}, + 'features_map': {'action': 'action', + 'pixels/agentview_image': 'observation.images.image', + 'pixels/robot0_eye_in_hand_image': 'observation.images.image2', + 'robot_state/eef/mat': 'observation.state.eef_mat', + 'robot_state/eef/pos': 'observation.state.eef_pos', + 'robot_state/eef/quat': 'observation.state.eef_quat', + 'robot_state/gripper/qpos': 'observation.state.gripper_qpos', + 'robot_state/gripper/qvel': 'observation.state.gripper_qvel', + 'robot_state/joints/pos': 'observation.state.joint_pos', + 'robot_state/joints/vel': 'observation.state.joint_vel'}, + 'fps': 20, + 'hard_reset': True, + 'init_states': True, + 'is_libero_plus': False, + 'max_parallel_tasks': 1, + 'obs_type': 'pixels_agent_pos', + 'observation_height': 360, + 'observation_width': 360, + 'render_mode': 'rgb_array', + 'task': 'libero_spatial', + 'task_ids': [0]}, + 'eval': {'batch_size': 50, + 'n_episodes': 50, + 'recording': False, + 'recording_private': False, + 'recording_repo_id': None, + 'tail_task_key': None, + 'use_async_envs': True}, + 'job_name': 'smolvla_seq_libero_spatial_2e-3_split2_libero_spatial_task01_060000_task00', + 'output_dir': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_060000/eval_task00_a10'), + 'policy': {'adapt_to_pi_aloha': False, + 'add_image_special_tokens': False, + 'attention_mode': 'cross_attn', + 'chunk_size': 50, + 'compile_mode': 'max-autotune', + 'compile_model': False, + 'device': 'cuda', + 'empty_cameras': 0, + 'expert_width_multiplier': 0.75, + 'freeze_vision_encoder': True, + 'input_features': {'observation.images.camera1': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera2': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.images.camera3': {'shape': (3, + 256, + 256), + 'type': }, + 'observation.state': {'shape': (6,), + 'type': }}, + 'license': None, + 'load_vlm_weights': True, + 'max_action_dim': 32, + 'max_period': 4.0, + 'max_state_dim': 32, + 'min_period': 0.004, + 'n_action_steps': 10, + 'n_obs_steps': 1, + 'normalization_mapping': {'ACTION': , + 'STATE': , + 'VISUAL': }, + 'num_expert_layers': 0, + 'num_steps': 10, + 'num_vlm_layers': 16, + 'optimizer_betas': (0.9, 0.95), + 'optimizer_eps': 1e-08, + 'optimizer_grad_clip_norm': 10.0, + 'optimizer_lr': 0.002, + 'optimizer_weight_decay': 1e-10, + 'output_features': {'action': {'shape': (7,), + 'type': }}, + 'pad_language_to': 'max_length', + 'prefix_length': 0, + 'pretrained_path': PosixPath('/NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/train/smolvla-split-seq-libero/smolvla_seq_libero_spatial_2e-3_split2/checkpoints/libero_spatial_task01_060000/pretrained_model'), + 'pretrained_revision': None, + 'private': None, + 'push_to_hub': False, + 'repo_id': None, + 'resize_imgs_with_padding': (512, 512), + 'rtc_config': None, + 'scheduler_decay_lr': 0.002, + 'scheduler_decay_steps': 5000, + 'scheduler_warmup_steps': 0, + 'self_attn_every_n_layers': 2, + 'tags': None, + 'tokenizer_max_length': 48, + 'train_expert_only': True, + 'train_state_proj': True, + 'use_amp': False, + 'use_cache': True, + 'use_delta_joint_actions_aloha': False, + 'use_peft': True, + 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct'}, + 'rename_map': {'observation.images.image': 'observation.images.camera1', + 'observation.images.image2': 'observation.images.camera2'}, + 'seed': 3000, + 'trust_remote_code': False} +INFO 2026-09-24 18:45:56 bot_eval.py:780 Output dir: /NHNHOME/26msit001_A/BASE/tml-lab/mk/lerobot-061-cl/outputs/eval/smolvla-split-seq-libero-3000/smolvla_seq_libero_spatial_2e-3_split2/libero_spatial_task01_060000/eval_task00_a10 +INFO 2026-09-24 18:45:56 bot_eval.py:782 Making environment (batch_size=50, async=True). +[robosuite WARNING] No private macro file found! (__init__.py:7) +WARNING 2026-09-24 18:45:56 e/__init__.py:7 No private macro file found! +[robosuite WARNING] It is recommended to use a private macro file (__init__.py:8) +WARNING 2026-09-24 18:45:56 e/__init__.py:8 It is recommended to use a private macro file +[robosuite WARNING] To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py (__init__.py:9) +WARNING 2026-09-24 18:45:56 e/__init__.py:9 To setup, run: python /home/tml_lab/miniforge3/envs/lerobot/lib/python3.12/site-packages/robosuite/scripts/setup_macros.py +INFO 2026-09-24 18:45:56 tesupport.py:24 No OpenGL_accelerate module loaded: No module named 'OpenGL_accelerate' +Creating LIBERO envs | suites=['libero_spatial'] | n_envs(per task)=50 | init_states=True +Restricting to task_ids=[0] +[info] using task orders [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +Built vec env | suite=libero_spatial | task_id=0 | n_envs=50 +INFO 2026-09-24 18:45:57 bot_eval.py:790 Making policy. +INFO 2026-09-24 18:45:57 /factory.py:394 Loading policy's PEFT adapter. +Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ... +`torch_dtype` is deprecated! Use `dtype` instead! + Loading weights: 0%| | 0/489 [00:00