Instructions to use akimaru/3cam_act_so101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use akimaru/3cam_act_so101 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +2 -2
- model.safetensors +1 -1
- train_config.json +5 -5
README.md
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@@ -79,7 +79,7 @@ The policy consumes these observation features and produces these action feature
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| Setting | Value |
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| --- | --- |
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| Training steps |
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| Batch size | 16 |
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| Optimizer | adamw |
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| Learning rate | 1e-05 |
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| Setting | Value |
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| --- | --- |
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| Training steps | 300000 |
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| Batch size | 16 |
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| Optimizer | adamw |
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| Learning rate | 1e-05 |
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config.json
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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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"pretrained_revision": null,
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"chunk_size": 100,
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"n_action_steps": 100,
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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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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/3cam_act_so101/checkpoints/last/pretrained_model",
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"pretrained_revision": null,
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"chunk_size": 100,
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"n_action_steps": 100,
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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 206699736
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfc6bb2fba763d7e05a6b4142a8dcb7bdc232d0761703cb9a871f52251fbd995
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size 206699736
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train_config.json
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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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"pretrained_revision": null,
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"chunk_size": 100,
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"n_action_steps": 100,
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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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"reward_model": null,
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"output_dir": "outputs/train/3cam_act_so101",
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"job_name": "3cam_act_so101",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers": 4,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps":
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"eval_freq": 20000,
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"log_freq": 100,
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"tolerance_s": 0.0001,
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"peft": null,
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"sample_weighting": null,
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"rename_map": {},
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"checkpoint_path":
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}
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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/3cam_act_so101/checkpoints/last/pretrained_model",
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"pretrained_revision": null,
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"chunk_size": 100,
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"n_action_steps": 100,
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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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"reward_model": null,
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"output_dir": "outputs/train/3cam_act_so101",
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"job_name": "3cam_act_so101",
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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": 4,
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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 300000,
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"eval_freq": 20000,
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"log_freq": 100,
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"tolerance_s": 0.0001,
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"peft": null,
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"sample_weighting": null,
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"rename_map": {},
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"checkpoint_path": "outputs/train/3cam_act_so101/checkpoints/last"
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}
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