Upload 4 files
Browse files- README.md +12 -0
- config.json +55 -0
- config.yaml +253 -0
- model.safetensors +3 -0
README.md
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---
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library_name: lerobot
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tags:
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- act
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- model_hub_mixin
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- pytorch_model_hub_mixin
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- robotics
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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: https://github.com/huggingface/lerobot
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- Docs: [More Information Needed]
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config.json
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{
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"chunk_size": 100,
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"dim_feedforward": 3200,
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"dim_model": 512,
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"dropout": 0.1,
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"feedforward_activation": "relu",
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"input_normalization_modes": {
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"observation.images.left_wrist": "mean_std",
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"observation.images.right_wrist": "mean_std",
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"observation.images.top": "mean_std",
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"observation.state": "mean_std"
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},
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"input_shapes": {
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"observation.images.left_wrist": [
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3,
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480,
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640
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],
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"observation.images.right_wrist": [
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3,
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480,
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640
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],
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"observation.images.top": [
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3,
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480,
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640
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],
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"observation.state": [
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]
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},
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"kl_weight": 10.0,
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"latent_dim": 32,
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"n_action_steps": 100,
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"n_decoder_layers": 7,
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"n_encoder_layers": 4,
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"n_heads": 8,
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"n_obs_steps": 1,
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"n_vae_encoder_layers": 4,
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"output_normalization_modes": {
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"action": "mean_std"
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},
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"output_shapes": {
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"action": [
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]
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},
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"pre_norm": false,
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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_coeff": null,
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"use_vae": true,
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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: 1000
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dataset_repo_id: HumanoidTeam/hackathon_sim_mobile_aloha
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video_backend: pyav
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training:
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offline_steps: 300000
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num_workers: 4
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batch_size: 4
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eval_freq: 50000
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log_freq: 200
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save_checkpoint: true
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save_freq: 50000
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online_steps: 0
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online_rollout_n_episodes: 1
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online_rollout_batch_size: 1
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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: null
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online_buffer_capacity: null
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online_buffer_seed_size: 0
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do_online_rollout_async: false
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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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- 0.02
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- 0.04
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- 0.06
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- 0.08
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- 0.1
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- 0.12
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- 0.14
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- 0.16
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- 0.18
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- 0.2
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- 0.22
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- 0.24
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- 0.26
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- 0.28
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- 0.3
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- 0.32
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- 0.34
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- 0.36
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- 0.38
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- 0.4
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- 0.42
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- 0.44
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- 0.46
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- 0.48
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- 0.5
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- 0.52
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- 0.54
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- 0.56
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- 0.58
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- 0.6
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- 0.62
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- 0.64
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- 0.66
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- 0.68
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- 0.7
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- 0.72
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- 0.74
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- 0.76
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- 0.78
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- 0.8
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- 0.82
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- 0.84
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- 0.86
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- 0.88
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- 0.9
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- 0.92
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- 0.94
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- 0.96
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- 0.98
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- 1.0
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- 1.02
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- 1.04
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- 1.06
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- 1.08
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- 1.1
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- 1.12
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- 1.14
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- 1.16
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- 1.18
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- 1.2
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- 1.22
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- 1.24
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- 1.26
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- 1.28
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- 1.3
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- 1.32
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- 1.34
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- 1.36
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- 1.38
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- 1.4
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- 1.42
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- 1.44
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- 1.46
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- 1.48
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- 1.5
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- 1.52
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- 1.54
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- 1.56
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- 1.58
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- 1.6
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- 1.62
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- 1.64
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- 1.66
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- 1.68
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- 1.7
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- 1.72
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- 1.74
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- 1.76
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- 1.78
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- 1.8
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- 1.82
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- 1.84
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- 1.86
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- 1.88
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- 1.9
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- 1.92
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- 1.94
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- 1.96
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- 1.98
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eval:
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n_episodes: 10
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batch_size: 1
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use_async_envs: false
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wandb:
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enable: false
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disable_artifact: false
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project: lerobot
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notes: ''
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fps: 50
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env:
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name: aloha
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task: AlohaHackathon-v0
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episode_length: 1000
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fps: ${fps}
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state_dim: 14
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action_dim: 14
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gym:
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obs_type: pixels_agent_pos
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render_mode: rgb_array
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max_episode_steps: 1000
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override_dataset_stats:
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observation.images.left_wrist:
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mean:
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- - - 0.485
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- - - 0.456
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- - - 0.406
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std:
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- - - 0.229
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- - - 0.224
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- - - 0.225
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observation.images.right_wrist:
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mean:
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- - - 0.485
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- - - 0.456
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- - - 0.406
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std:
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- - - 0.229
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- - - 0.224
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- - - 0.225
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observation.images.top:
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mean:
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- - - 0.485
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+
- - - 0.456
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- - - 0.406
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std:
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- - - 0.229
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- - - 0.224
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- - - 0.225
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policy:
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name: act
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n_obs_steps: 1
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chunk_size: 100
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n_action_steps: 100
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input_shapes:
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observation.images.left_wrist:
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- 3
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- 480
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- 640
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observation.images.right_wrist:
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219 |
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- 3
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- 480
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- 640
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observation.images.top:
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- 3
|
224 |
+
- 480
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225 |
+
- 640
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observation.state:
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227 |
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- 14
|
228 |
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output_shapes:
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229 |
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action:
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230 |
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- 14
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+
input_normalization_modes:
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observation.images.left_wrist: mean_std
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233 |
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observation.images.right_wrist: mean_std
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234 |
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observation.images.top: mean_std
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observation.state: mean_std
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236 |
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output_normalization_modes:
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237 |
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action: mean_std
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vision_backbone: resnet18
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239 |
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pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
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240 |
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replace_final_stride_with_dilation: false
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241 |
+
pre_norm: false
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242 |
+
dim_model: 512
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243 |
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n_heads: 8
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244 |
+
dim_feedforward: 3200
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245 |
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feedforward_activation: relu
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246 |
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n_encoder_layers: 4
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247 |
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n_decoder_layers: 7
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248 |
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use_vae: true
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249 |
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latent_dim: 32
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250 |
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n_vae_encoder_layers: 4
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251 |
+
temporal_ensemble_coeff: null
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252 |
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dropout: 0.1
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253 |
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kl_weight: 10.0
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:00b9106969cff956d8b289fe4f15b09a7f030878eb5dc965718b4a32da09a087
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size 336015288
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