notmahi commited on
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Upload folder using huggingface_hub

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Files changed (4) hide show
  1. README.md +9 -0
  2. config.json +29 -0
  3. config.yaml +98 -0
  4. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - model_hub_mixin
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+ - pytorch_model_hub_mixin
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+ ---
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+
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+ This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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+ - Library: [More Information Needed]
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+ - Docs: [More Information Needed]
config.json ADDED
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+ {
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+ "chunk_size": 1,
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+ "dim_model": 256,
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+ "dropout": 0.1,
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+ "input_normalization_modes": {
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+ "observation.state": "min_max"
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+ },
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+ "input_shapes": {
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+ "observation.state": [
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+ 4
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+ ]
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+ },
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+ "n_action_steps": 1,
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+ "n_obs_steps": 1,
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+ "num_hidden_layers": 3,
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+ "output_normalization_modes": {
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+ "action": "min_max"
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+ },
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+ "output_shapes": {
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+ "action": [
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+ 2
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+ ]
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+ },
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+ "pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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+ "replace_final_stride_with_dilation": false,
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+ "temporal_ensemble_momentum": null,
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+ "use_l1_loss": false,
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+ "vision_backbone": "resnet18"
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+ }
config.yaml ADDED
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+ resume: false
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+ device: cuda
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+ use_amp: false
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+ seed: 100000
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+ dataset_repo_id: notmahi/tutorial-ball
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+ video_backend: pyav
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+ training:
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+ offline_steps: 80000
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+ online_steps: 0
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+ online_steps_between_rollouts: 1
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+ online_sampling_ratio: 0.5
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+ online_env_seed: ???
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+ eval_freq: 5000
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+ log_freq: 250
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+ save_checkpoint: true
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+ save_freq: 5000
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+ num_workers: 4
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+ batch_size: 128
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+ image_transforms:
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+ enable: false
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+ max_num_transforms: 3
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+ random_order: false
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+ brightness:
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+ weight: 1
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+ min_max:
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+ - 0.8
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+ - 1.2
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+ contrast:
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+ weight: 1
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+ min_max:
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+ - 0.8
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+ - 1.2
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+ saturation:
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+ weight: 1
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+ min_max:
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+ - 0.5
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+ - 1.5
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+ hue:
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+ weight: 1
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+ min_max:
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+ - -0.05
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+ - 0.05
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+ sharpness:
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+ weight: 1
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+ min_max:
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+ - 0.8
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+ - 1.2
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+ lr: 1.0e-05
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+ lr_backbone: 1.0e-05
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+ weight_decay: 0.0001
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+ grad_clip_norm: 10
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+ delta_timestamps:
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+ action:
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+ - 0.0
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+ eval:
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+ n_episodes: 50
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+ batch_size: 50
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+ use_async_envs: false
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+ wandb:
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+ enable: true
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+ disable_artifact: false
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+ project: lerobot
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+ notes: ''
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+ fps: 60
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+ env:
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+ name: ballgame
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+ task: Ballgame-v0
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+ state_dim: 4
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+ action_dim: 2
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+ fps: ${fps}
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+ episode_length: 1000
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+ gym:
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+ fps: ${fps}
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+ obs_type: pixels_agent_pos
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+ timeout: 1000
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+ policy:
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+ name: mlpbc
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+ n_obs_steps: 1
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+ chunk_size: 1
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+ n_action_steps: 1
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+ input_shapes:
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+ observation.state:
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+ - ${env.state_dim}
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+ output_shapes:
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+ action:
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+ - ${env.action_dim}
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+ input_normalization_modes:
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+ observation.state: min_max
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+ output_normalization_modes:
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+ action: min_max
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+ use_l1_loss: false
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+ num_hidden_layers: 3
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+ vision_backbone: resnet18
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+ pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
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+ replace_final_stride_with_dilation: false
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+ dim_model: 256
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+ temporal_ensemble_momentum: null
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+ dropout: 0.1
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:f0d82a3f55759c1d4a90b58fc9a7ca8d8b3432d79d49d399778b97b80dc8aa19
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+ size 798232