Upload folder using huggingface_hub

README.md

@@ -0,0 +1,9 @@
+---
+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

@@ -0,0 +1,46 @@
+{
+  "chunk_size": 5,
+  "crop_is_random": true,
+  "crop_shape": [
+    224,
+    224
+  ],
+  "dim_feedforward": 3200,
+  "dim_model": 512,
+  "dropout": 0.1,
+  "feedforward_activation": "relu",
+  "input_normalization_modes": {
+    "observation.state": "mean_std"
+  },
+  "input_shapes": {
+    "observation.state": [
+      4
+    ]
+  },
+  "kl_weight": 10.0,
+  "latent_dim": 32,
+  "n_action_steps": 5,
+  "n_decoder_layers": 2,
+  "n_encoder_layers": 4,
+  "n_heads": 8,
+  "n_obs_steps": 1,
+  "n_vae_encoder_layers": 4,
+  "output_normalization_modes": {
+    "action": "mean_std"
+  },
+  "output_shapes": {
+    "action": [
+      2
+    ]
+  },
+  "pre_norm": false,
+  "pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
+  "replace_final_stride_with_dilation": false,
+  "resize_shape": [
+    256,
+    342
+  ],
+  "temporal_ensemble_momentum": null,
+  "use_vae": true,
+  "vision_backbone": "resnet18"
+}

config.yaml

@@ -0,0 +1,110 @@
+resume: false
+device: cuda
+use_amp: false
+seed: 1000
+dataset_repo_id: notmahi/tutorial-ball
+video_backend: pyav
+training:
+  offline_steps: 80000
+  online_steps: 0
+  online_steps_between_rollouts: 1
+  online_sampling_ratio: 0.5
+  online_env_seed: ???
+  eval_freq: 5000
+  log_freq: 250
+  save_checkpoint: true
+  save_freq: 5000
+  num_workers: 4
+  batch_size: 128
+  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
+  lr: 1.0e-05
+  lr_backbone: 1.0e-05
+  weight_decay: 0.0001
+  grad_clip_norm: 10
+  delta_timestamps:
+    action:
+    - 0.0
+    - 0.016666666666666666
+    - 0.03333333333333333
+    - 0.05
+    - 0.06666666666666667
+eval:
+  n_episodes: 10
+  batch_size: 10
+  use_async_envs: false
+wandb:
+  enable: true
+  disable_artifact: false
+  project: lerobot
+  notes: ''
+fps: 60
+env:
+  name: ballgame
+  task: Ballgame-v0
+  state_dim: 4
+  action_dim: 2
+  fps: ${fps}
+  episode_length: 1000
+  gym:
+    fps: ${fps}
+    obs_type: pixels_agent_pos
+    timeout: 1000
+policy:
+  name: act
+  n_obs_steps: 1
+  chunk_size: 5
+  n_action_steps: 5
+  input_shapes:
+    observation.state:
+    - ${env.state_dim}
+  output_shapes:
+    action:
+    - ${env.action_dim}
+  input_normalization_modes:
+    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: 2
+  use_vae: true
+  latent_dim: 32
+  n_vae_encoder_layers: 4
+  temporal_ensemble_momentum: null
+  dropout: 0.1
+  kl_weight: 10.0

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98b14be92dfd09a5821b6a5a32a88df339b6208a9394a2ec70d2b1000779637a
+size 227828080