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device: cuda
use_amp: false
seed: 1000
dataset_repo_id: lerobot/aloha_sim_transfer_cube_human
training:
offline_steps: 100000
online_steps: 0
online_steps_between_rollouts: 1
online_sampling_ratio: 0.5
online_env_seed: ???
eval_freq: 10000
save_freq: 25000
log_freq: 250
save_model: true
batch_size: 8
lr: 1.0e-05
lr_backbone: 1.0e-05
weight_decay: 0.0001
grad_clip_norm: 10
override_dataset_stats:
observation.images.top:
mean:
- - - 0.485
- - - 0.456
- - - 0.406
std:
- - - 0.229
- - - 0.224
- - - 0.225
delta_timestamps:
action:
- 0.0
- 0.02
- 0.04
- 0.06
- 0.08
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- 0.8
- 0.82
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- 0.86
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- 0.9
- 0.92
- 0.94
- 0.96
- 0.98
- 1.0
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- 1.08
- 1.1
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- 1.14
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- 1.18
- 1.2
- 1.22
- 1.24
- 1.26
- 1.28
- 1.3
- 1.32
- 1.34
- 1.36
- 1.38
- 1.4
- 1.42
- 1.44
- 1.46
- 1.48
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- 1.52
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- 1.8
- 1.82
- 1.84
- 1.86
- 1.88
- 1.9
- 1.92
- 1.94
- 1.96
- 1.98
eval:
n_episodes: 50
batch_size: 50
use_async_envs: false
wandb:
enable: true
disable_artifact: false
project: lerobot
notes: ''
fps: 50
env:
name: aloha
task: AlohaTransferCube-v0
state_dim: 14
action_dim: 14
fps: ${fps}
episode_length: 400
gym:
obs_type: pixels_agent_pos
render_mode: rgb_array
policy:
name: act
n_obs_steps: 1
chunk_size: 100
n_action_steps: 100
input_shapes:
observation.images.top:
- 3
- 480
- 640
observation.state:
- ${env.state_dim}
output_shapes:
action:
- ${env.action_dim}
input_normalization_modes:
observation.images.top: mean_std
observation.state: mean_std
output_normalization_modes:
action: mean_std
vision_backbone: resnet18
pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
replace_final_stride_with_dilation: false
pre_norm: false
dim_model: 512
n_heads: 8
dim_feedforward: 3200
feedforward_activation: relu
n_encoder_layers: 4
n_decoder_layers: 1
use_vae: true
latent_dim: 32
n_vae_encoder_layers: 4
temporal_ensemble_coeff: null
dropout: 0.1
kl_weight: 10.0
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