Upload folder using huggingface_hub
Browse files- README.md +9 -0
- config.json +29 -0
- config.yaml +98 -0
- model.safetensors +3 -0
README.md
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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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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]
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config.json
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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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}
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config.yaml
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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
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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
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