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README.md

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+---
+tags:
+- pytorch_model_hub_mixin
+- model_hub_mixin
+---
+
+This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
+- Library: [More Information Needed]
+- Docs: [More Information Needed]

config.json

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+{
+  "beta_end": 0.02,
+  "beta_schedule": "squaredcos_cap_v2",
+  "beta_start": 0.0001,
+  "clip_sample": true,
+  "clip_sample_range": 1.0,
+  "crop_is_random": true,
+  "crop_shape": [
+    84,
+    84
+  ],
+  "diffusion_step_embed_dim": 128,
+  "do_mask_loss_for_padding": false,
+  "down_dims": [
+    512,
+    1024,
+    2048
+  ],
+  "horizon": 16,
+  "input_normalization_modes": {
+    "observation.environment_state": "min_max",
+    "observation.state": "min_max"
+  },
+  "input_shapes": {
+    "observation.environment_state": [
+      16
+    ],
+    "observation.state": [
+      2
+    ]
+  },
+  "kernel_size": 5,
+  "n_action_steps": 8,
+  "n_groups": 8,
+  "n_obs_steps": 2,
+  "noise_scheduler_type": "DDIM",
+  "num_inference_steps": 10,
+  "num_train_timesteps": 100,
+  "output_normalization_modes": {
+    "action": "min_max"
+  },
+  "output_shapes": {
+    "action": [
+      2
+    ]
+  },
+  "prediction_type": "epsilon",
+  "pretrained_backbone_weights": null,
+  "spatial_softmax_num_keypoints": 32,
+  "use_film_scale_modulation": true,
+  "use_group_norm": true,
+  "vision_backbone": "resnet18"
+}

config.yaml

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+resume: false
+device: cuda
+use_amp: true
+seed: 100000
+dataset_repo_id: alexandersoare/pusht_keypoints_only
+video_backend: pyav
+training:
+  offline_steps: 200000
+  online_steps: 0
+  online_steps_between_rollouts: 1
+  online_sampling_ratio: 0.5
+  online_env_seed: ???
+  eval_freq: 10000
+  log_freq: 50
+  save_checkpoint: true
+  save_freq: 20000
+  num_workers: 4
+  batch_size: 64
+  image_transforms:
+    enable: false
+    max_num_transforms: 3
+    random_order: false
+    brightness:
+      weight: 1
+      min_max:
+      - 0.8
+      - 1.2
+    contrast:
+      weight: 1
+      min_max:
+      - 0.8
+      - 1.2
+    saturation:
+      weight: 1
+      min_max:
+      - 0.5
+      - 1.5
+    hue:
+      weight: 1
+      min_max:
+      - -0.05
+      - 0.05
+    sharpness:
+      weight: 1
+      min_max:
+      - 0.8
+      - 1.2
+  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.environment_state:
+    - -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
+  drop_n_last_frames: 7
+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: environment_state_agent_pos
+    render_mode: rgb_array
+    visualization_width: 384
+    visualization_height: 384
+policy:
+  name: diffusion
+  n_obs_steps: 2
+  horizon: 16
+  n_action_steps: 8
+  input_shapes:
+    observation.environment_state:
+    - 16
+    observation.state:
+    - ${env.state_dim}
+  output_shapes:
+    action:
+    - ${env.action_dim}
+  input_normalization_modes:
+    observation.environment_state: min_max
+    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
+  noise_scheduler_type: DDIM
+  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: 10
+  do_mask_loss_for_padding: false

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ae40aa87dd124ee1e4914258049f4eac676345a28e6cb8dfcfa67830cc3246b0
+size 995056568