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VLA/workspace/lerobot_example/config_qact.yml
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Lufang Chen d821b0cb26 Fix normalizer (#57)
* fix normalizer

* fix val

* update compute stats

* delete norm

* update readme

* minor fix

* fix action normalizer

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2025-10-24 17:29:12 +08:00

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YAML

# Training Configuration for Wall-X Robotic Multi-Modal Learning
# This configuration supports multi-modal learning with vision, language, and action data
# Model and paths configuration
log_name: "robotic_training"
log_project: "vla_training"
model_type: wall-oss
pretrained_wallx_path: "/path/to/wallx_model/" # Must set
save_path: "/path/to/workspace/" # Must set
use_fast_tokenizer: False # True: train FAST, False: train Flow
action_tokenizer_path: "/path/to/fast/" # Must set if use_fast_tokenizer is true
# Torch Profile
profile: False
profile_save_path: /path/to/profile/
profile_wait_iters: 10
profile_warmup_iters: 5
profile_active_iters: 2
# Training hyperparameters
num_warmup_steps: 100
num_training_steps: 64000000
learning_rate: 0.00005
min_lr: 0.00005
num_epoch: 100
gradient_accumulation_steps: 32
batch_size_per_gpu: 8
padding_side: left
epoch_save_interval: 10
# Training optimization settings
FSDP2: True
torch_compile: False
# Robot configuration - Define degrees of freedom for each component
dof_config:
follow_left_ee_cartesian_pos: 3 # Left end-effector Cartesian position
follow_left_ee_rotation: 3 # Left end-effector rotation
follow_left_gripper: 1 # Left gripper control
follow_right_ee_cartesian_pos: 3 # Right end-effector Cartesian position
follow_right_ee_rotation: 3 # Right end-effector rotation
follow_right_gripper: 1 # Right gripper control
head_actions: 2 # Head/camera movement
height: 1 # Mobile base height control
car_pose: 3 # Mobile base pose (x, y, theta)
# Agent proprioception configuration (typically matches DOF config)
agent_pos_config:
follow_left_ee_cartesian_pos: 3
follow_left_ee_rotation: 3
follow_left_gripper: 1
follow_right_ee_cartesian_pos: 3
follow_right_ee_rotation: 3
follow_right_gripper: 1
head_actions: 2
height: 1
car_pose: 3
# # Checkpoint resuming configuration
# resume:
# ckpt: "/path/to/resume_model/"
# load_ckpt_only: true
norm_stats_path: "/path/to/norm_stats.json"
enable_customized_robot_config: true
customized_robot_config:
name: "lerobot/aloha_mobile_cabinet"
customized_dof_config:
"action_left_shoulder" : 1
"action_left_elbow" : 1
"action_left_forearm_roll" : 1
"action_left_wrist_angle" : 1
"action_left_wrist_rotate" : 1
"action_left_gripper" : 1
"action_right_waist" : 1
"action_right_shoulder" : 1
"action_right_elbow" : 1
"action_right_forearm_roll" : 1
"action_right_wrist_angle" : 1
"action_right_wrist_rotate" : 1
"action_right_gripper" : 1
customized_agent_pos_config:
"state_left_shoulder" : 1
"state_left_elbow" : 1
"state_left_forearm_roll" : 1
"state_left_wrist_angle" : 1
"state_left_wrist_rotate" : 1
"state_left_gripper" : 1
"state_right_waist" : 1
"state_right_shoulder" : 1
"state_right_elbow" : 1
"state_right_forearm_roll" : 1
"state_right_wrist_angle" : 1
"state_right_wrist_rotate" : 1
"state_right_gripper" : 1
# Data configuration
data:
use_lerobot: true
# LeRobot dataset configuration
lerobot_config:
repo_id: "lerobot/aloha_mobile_cabinet"
root: null
episodes: null
image_transforms: null
delta_timestamps: null
tolerance_s: 1e-4
revision: null
force_cache_sync: false
download_videos: true
video_backend: null
action_horizon: 32
train_test_split: 0.95
# Action keys for observation and prediction
obs_action_keys:
- follow_left_ee_cartesian_pos
- follow_left_ee_rotation
- follow_left_gripper
- follow_right_ee_cartesian_pos
- follow_right_ee_rotation
- follow_right_gripper
- head_actions
- height
- car_pose
predict_action_keys:
- follow_left_ee_cartesian_pos
- follow_left_ee_rotation
- follow_left_gripper
- follow_right_ee_cartesian_pos
- follow_right_ee_rotation
- follow_right_gripper
- head_actions
- height
- car_pose
# Image resolution configuration for different camera views
resolution:
face_view: 256
left_wrist_view: 256
right_wrist_view: 256
move1_view: 256
move2_view: 256
top_view: 256
wall_view: 256
multi_modal: 256