Upload folder using huggingface_hub
Browse files- README.md +12 -0
- config.json +49 -0
- config.yaml +234 -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.head": "mean_std",
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"observation.images.wrist": "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.head": [
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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.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.state": [
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7
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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": 1,
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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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7
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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: keith2/lego1
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video_backend: pyav
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training:
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offline_steps: 80000
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num_workers: 4
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batch_size: 8
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eval_freq: -1
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log_freq: 100
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save_checkpoint: true
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save_freq: 10000
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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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- 0.05
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- 0.1
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- 0.15
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- 0.2
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- 0.25
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- 0.3
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- 0.35
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- 0.4
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- 0.45
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- 0.5
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- 0.55
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- 0.6
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- 0.65
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- 0.7
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- 0.75
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- 0.8
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- 0.85
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- 0.9
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- 0.95
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- 1.0
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- 1.05
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- 1.1
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- 1.15
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- 1.2
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- 1.25
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- 1.3
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- 1.35
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- 1.4
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- 1.45
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- 1.5
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- 1.55
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- 1.6
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- 1.65
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- 1.7
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- 1.75
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- 1.8
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- 1.85
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- 1.9
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- 1.95
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- 2.0
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- 2.05
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- 2.1
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- 2.15
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- 2.2
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- 2.25
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- 2.3
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- 2.35
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- 2.4
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- 2.45
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- 2.5
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- 2.55
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- 2.6
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- 2.65
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- 2.7
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- 2.75
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- 2.8
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- 2.85
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- 2.9
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- 2.95
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- 3.0
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- 3.05
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- 3.1
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- 3.15
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- 3.2
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- 3.25
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- 3.3
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- 3.35
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- 3.4
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- 3.45
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- 3.5
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- 3.55
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- 3.6
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- 3.65
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- 3.7
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- 3.75
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- 3.8
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- 3.85
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- 3.9
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- 3.95
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- 4.0
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- 4.05
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- 4.1
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- 4.15
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- 4.2
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- 4.25
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- 4.3
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- 4.35
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- 4.4
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- 4.45
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- 4.5
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- 4.55
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- 4.6
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- 4.65
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- 4.7
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- 4.75
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- 4.8
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- 4.85
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- 4.9
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- 4.95
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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: 20
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env:
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name: real_world
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task: null
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state_dim: 7
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action_dim: 7
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fps: ${fps}
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override_dataset_stats:
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observation.images.head:
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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.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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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.head:
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- 3
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- 480
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- 640
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observation.images.wrist:
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- 3
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- 480
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- 640
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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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212 |
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- ${env.action_dim}
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input_normalization_modes:
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observation.images.head: mean_std
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observation.images.wrist: mean_std
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216 |
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observation.state: mean_std
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217 |
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output_normalization_modes:
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218 |
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action: mean_std
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219 |
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vision_backbone: resnet18
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pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
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221 |
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replace_final_stride_with_dilation: false
|
222 |
+
pre_norm: false
|
223 |
+
dim_model: 512
|
224 |
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n_heads: 8
|
225 |
+
dim_feedforward: 3200
|
226 |
+
feedforward_activation: relu
|
227 |
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n_encoder_layers: 4
|
228 |
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n_decoder_layers: 1
|
229 |
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use_vae: true
|
230 |
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latent_dim: 32
|
231 |
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n_vae_encoder_layers: 4
|
232 |
+
temporal_ensemble_momentum: null
|
233 |
+
dropout: 0.1
|
234 |
+
kl_weight: 10.0
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
|
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|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:e3736513f1acb7515cdf91f3776840128d73ce43e1aa735c340c39e4ce074340
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3 |
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size 206709284
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