Instructions to use ulasgenc/act_100demo_cubeToCup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use ulasgenc/act_100demo_cubeToCup with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +1 -1
- config.json +1 -1
- model.safetensors +1 -1
- train_config.json +3 -3
README.md
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@@ -77,7 +77,7 @@ 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 | 5000 |
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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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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "ulasgenc/act_100demo_cubeToCup",
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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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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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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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"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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"env_eval_freq": 20000,
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"log_freq": 200,
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"eval_steps": 0,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "
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"mode": null,
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"add_tags": true
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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": "ulasgenc/act_100demo_cubeToCup",
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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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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 5000,
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"env_eval_freq": 20000,
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"log_freq": 200,
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"eval_steps": 0,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "c2p5ugqf",
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"mode": null,
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"add_tags": true
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},
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