Instructions to use xtar/act_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use xtar/act_baseline with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- config.json +3 -3
- model.safetensors +1 -1
- train_config.json +10 -10
config.json
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}
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},
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"device": "cuda",
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"use_amp":
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"use_peft": false,
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"push_to_hub": true,
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"repo_id": "xtar/act_baseline",
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path":
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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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":
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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}
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},
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"device": "cuda",
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"use_amp": true,
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"use_peft": false,
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"push_to_hub": true,
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"repo_id": "xtar/act_baseline",
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/content/lerobot_runs/act_baseline_resume/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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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": 0,
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 206765304
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version https://git-lfs.github.com/spec/v1
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oid sha256:c56c57773c6a964ad09f6f0b85812b4f9c6a7d71677ef43302644eeda0b99299
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size 206765304
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train_config.json
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}
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},
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"device": "cuda",
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"use_amp":
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"use_peft": false,
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"push_to_hub": true,
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"repo_id": "xtar/act_baseline",
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path":
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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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":
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "
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"job_name": "act",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 24,
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"batch_size": 256,
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"steps":
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq":
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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},
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"scheduler": null,
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"eval": {
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"n_episodes":
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"batch_size":
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"use_async_envs": true
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},
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"wandb": {
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path":
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}
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}
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},
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"device": "cuda",
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"use_amp": true,
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"use_peft": false,
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"push_to_hub": true,
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"repo_id": "xtar/act_baseline",
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/content/lerobot_runs/act_baseline_resume/checkpoints/last/pretrained_model",
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"chunk_size": 100,
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"n_action_steps": 100,
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"normalization_mapping": {
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},
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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": 0,
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"pre_norm": false,
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"dim_model": 512,
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"n_heads": 8,
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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "/content/drive/MyDrive/lerobot_outputs/act_baseline",
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"job_name": "act",
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"resume": true,
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 24,
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"batch_size": 256,
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"steps": 10000,
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"eval_freq": 20000,
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"log_freq": 200,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq": 1000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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},
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"scheduler": null,
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"eval": {
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"n_episodes": 128,
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"batch_size": 128,
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"use_async_envs": true
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},
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"wandb": {
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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path": "/content/lerobot_runs/act_baseline_resume/checkpoints/last"
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}
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