Delete config.yaml

config.yaml

@@ -1,141 +0,0 @@
-device: cuda
-use_amp: false
-seed: 100000
-dataset_repo_id: lerobot/pusht
-training:
-  offline_steps: 200000
-  online_steps: 0
-  online_steps_between_rollouts: 1
-  online_sampling_ratio: 0.5
-  online_env_seed: ???
-  eval_freq: 10000
-  save_freq: 20000
-  log_freq: 250
-  save_model: true
-  batch_size: 64
-  grad_clip_norm: 10
-  lr: 0.0001
-  lr_scheduler: cosine
-  lr_warmup_steps: 500
-  adam_betas:
-  - 0.95
-  - 0.999
-  adam_eps: 1.0e-08
-  adam_weight_decay: 1.0e-06
-  delta_timestamps:
-    observation.image:
-    - -0.1
-    - 0.0
-    observation.state:
-    - -0.1
-    - 0.0
-    action:
-    - -0.1
-    - 0.0
-    - 0.1
-    - 0.2
-    - 0.3
-    - 0.4
-    - 0.5
-    - 0.6
-    - 0.7
-    - 0.8
-    - 0.9
-    - 1.0
-    - 1.1
-    - 1.2
-    - 1.3
-    - 1.4
-  n_end_keyframes_dropped: ${policy.horizon} - ${policy.n_action_steps} - ${policy.n_obs_steps}
-    + 1
-eval:
-  n_episodes: 50
-  batch_size: 50
-  use_async_envs: false
-wandb:
-  enable: true
-  disable_artifact: true
-  project: lerobot
-  notes: ''
-fps: 10
-env:
-  name: pusht
-  task: PushT-v0
-  image_size: 96
-  state_dim: 2
-  action_dim: 2
-  fps: ${fps}
-  episode_length: 300
-  gym:
-    obs_type: pixels_agent_pos
-    render_mode: rgb_array
-    visualization_width: 384
-    visualization_height: 384
-override_dataset_stats:
-  observation.image:
-    mean:
-    - - - 0.5
-    - - - 0.5
-    - - - 0.5
-    std:
-    - - - 0.5
-    - - - 0.5
-    - - - 0.5
-  observation.state:
-    min:
-    - 13.456424
-    - 32.938293
-    max:
-    - 496.14618
-    - 510.9579
-  action:
-    min:
-    - 12.0
-    - 25.0
-    max:
-    - 511.0
-    - 511.0
-policy:
-  name: diffusion
-  n_obs_steps: 2
-  horizon: 16
-  n_action_steps: 8
-  input_shapes:
-    observation.image:
-    - 3
-    - 96
-    - 96
-    observation.state:
-    - ${env.state_dim}
-  output_shapes:
-    action:
-    - ${env.action_dim}
-  input_normalization_modes:
-    observation.image: mean_std
-    observation.state: min_max
-  output_normalization_modes:
-    action: min_max
-  vision_backbone: resnet18
-  crop_shape:
-  - 84
-  - 84
-  crop_is_random: true
-  pretrained_backbone_weights: null
-  use_group_norm: true
-  spatial_softmax_num_keypoints: 32
-  down_dims:
-  - 512
-  - 1024
-  - 2048
-  kernel_size: 5
-  n_groups: 8
-  diffusion_step_embed_dim: 128
-  use_film_scale_modulation: true
-  num_train_timesteps: 100
-  beta_schedule: squaredcos_cap_v2
-  beta_start: 0.0001
-  beta_end: 0.02
-  prediction_type: epsilon
-  clip_sample: true
-  clip_sample_range: 1.0
-  num_inference_steps: 100