jhseon-holiday
commited on
Commit
•
9dd0310
1
Parent(s):
89a171a
Upload folder using huggingface_hub
Browse files- README.md +12 -0
- config.json +65 -0
- config.yaml +210 -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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- model_hub_mixin
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- pytorch_model_hub_mixin
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- robotics
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- vqbet
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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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"action_chunk_size": 5,
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"bet_softmax_temperature": 0.1,
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"crop_is_random": true,
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"crop_shape": [
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84,
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84
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],
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"dropout": 0.1,
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"gpt_block_size": 500,
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"gpt_hidden_dim": 512,
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"gpt_input_dim": 512,
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"gpt_n_head": 8,
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"gpt_n_layer": 8,
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"gpt_output_dim": 512,
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"input_normalization_modes": {
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"observation.image.cam_left": "mean_std",
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"observation.image.cam_right": "mean_std",
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"observation.image.cam_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.image.cam_left": [
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3,
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96,
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96
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],
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"observation.image.cam_right": [
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3,
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96,
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96
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],
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"observation.image.cam_wrist": [
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3,
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96,
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96
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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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"mlp_hidden_dim": 1024,
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"n_action_pred_token": 7,
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"n_obs_steps": 5,
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"n_vqvae_training_steps": 20000,
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"offset_loss_weight": 10000.0,
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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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"pretrained_backbone_weights": null,
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"primary_code_loss_weight": 5.0,
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"secondary_code_loss_weight": 0.5,
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"sequentially_select": false,
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"spatial_softmax_num_keypoints": 32,
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"use_group_norm": true,
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"vision_backbone": "resnet18",
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"vqvae_embedding_dim": 256,
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"vqvae_enc_hidden_dim": 128,
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"vqvae_n_embed": 16
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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: 1
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dataset_repo_id: xarm_holi_demos_lerobot_state_as_action
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video_backend: pyav
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training:
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offline_steps: 250000
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split: train
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num_workers: 4
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batch_size: 32
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eval_freq: -1
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log_freq: 200
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save_checkpoint: true
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save_freq: 25000
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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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grad_clip_norm: 10
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lr: 0.0001
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lr_scheduler: cosine
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lr_warmup_steps: 500
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adam_betas:
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- 0.95
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- 0.999
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adam_eps: 1.0e-08
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adam_weight_decay: 1.0e-06
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vqvae_lr: 0.001
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n_vqvae_training_steps: 20000
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bet_weight_decay: 0.0002
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bet_learning_rate: 5.5e-05
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bet_betas:
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- 0.9
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- 0.999
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delta_timestamps:
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observation.image.cam_left:
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- -0.13333333333333333
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- -0.1
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- -0.06666666666666667
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- -0.03333333333333333
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- 0.0
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observation.image.cam_right:
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- -0.13333333333333333
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- -0.1
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- -0.06666666666666667
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- -0.03333333333333333
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- 0.0
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observation.image.cam_wrist:
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- -0.13333333333333333
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- -0.1
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- -0.06666666666666667
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- -0.03333333333333333
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- 0.0
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observation.state:
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- -0.13333333333333333
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- -0.1
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- -0.06666666666666667
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- -0.03333333333333333
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- 0.0
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action:
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- -0.13333333333333333
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- -0.1
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- -0.06666666666666667
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- -0.03333333333333333
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- 0.0
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- 0.03333333333333333
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- 0.06666666666666667
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- 0.1
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- 0.13333333333333333
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- 0.16666666666666666
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- 0.2
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- 0.23333333333333334
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- 0.26666666666666666
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- 0.3
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- 0.3333333333333333
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eval:
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n_episodes: 10
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batch_size: 4
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use_async_envs: false
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wandb:
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enable: true
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name: ''
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disable_artifact: false
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project: lerobot
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notes: xarmholi
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fps: 30
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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.image.cam_left:
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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.image.cam_right:
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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.image.cam_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: vqbet
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n_obs_steps: 5
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n_action_pred_token: 7
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action_chunk_size: 5
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input_shapes:
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observation.image.cam_left:
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- 3
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- 96
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- 96
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observation.image.cam_right:
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- 3
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- 96
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- 96
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observation.image.cam_wrist:
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- 3
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- 96
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- 96
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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.image.cam_left: mean_std
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observation.image.cam_right: mean_std
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observation.image.cam_wrist: mean_std
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observation.state: mean_std
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output_normalization_modes:
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action: mean_std
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vision_backbone: resnet18
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crop_shape:
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- 84
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- 84
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crop_is_random: true
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pretrained_backbone_weights: null
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192 |
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use_group_norm: true
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spatial_softmax_num_keypoints: 32
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n_vqvae_training_steps: ${training.n_vqvae_training_steps}
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vqvae_n_embed: 16
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vqvae_embedding_dim: 256
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vqvae_enc_hidden_dim: 128
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198 |
+
gpt_block_size: 500
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+
gpt_input_dim: 512
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200 |
+
gpt_output_dim: 512
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gpt_n_layer: 8
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+
gpt_n_head: 8
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+
gpt_hidden_dim: 512
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dropout: 0.1
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mlp_hidden_dim: 1024
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206 |
+
offset_loss_weight: 10000.0
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207 |
+
primary_code_loss_weight: 5.0
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208 |
+
secondary_code_loss_weight: 0.5
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209 |
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bet_softmax_temperature: 0.1
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210 |
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sequentially_select: false
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b672c0ed9f105991dc292b08d92f19f188474159440d2ad679bb306b7788642
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size 159830662
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