Instructions to use MaxFridge/lighter_cup_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use MaxFridge/lighter_cup_v2 with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +3 -3
- model.safetensors +1 -1
- train_config.json +8 -8
README.md
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@@ -5,9 +5,9 @@ license: apache-2.0
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model_name: act
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pipeline_tag: robotics
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tags:
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- act
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- lerobot
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- robotics
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---
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# Model Card for act
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model_name: act
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pipeline_tag: robotics
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tags:
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- robotics
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- lerobot
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- act
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---
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# Model Card for act
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config.json
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@@ -79,7 +79,7 @@
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"temporal_ensemble_coeff": 0.01,
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"dropout": 0.1,
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"kl_weight": 10.0,
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"optimizer_lr":
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"optimizer_weight_decay": 0.
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"optimizer_lr_backbone":
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}
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"temporal_ensemble_coeff": 0.01,
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"dropout": 0.1,
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"kl_weight": 10.0,
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"optimizer_lr": 9.395749453632438e-05,
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"optimizer_weight_decay": 0.00016759517236805322,
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"optimizer_lr_backbone": 5.516460876525447e-06
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}
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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 206767416
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version https://git-lfs.github.com/spec/v1
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oid sha256:5682f8473de4934aea5b3e28026c9ceae46d8d4a727515f6e2bca2c915702f38
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size 206767416
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train_config.json
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@@ -146,15 +146,15 @@
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"temporal_ensemble_coeff": 0.01,
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"dropout": 0.1,
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"kl_weight": 10.0,
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-
"optimizer_lr":
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"optimizer_weight_decay": 0.
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"optimizer_lr_backbone":
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},
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"output_dir": "outputs/train/2025-09-28/
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"job_name": "act_sweep_batchsize_learningrate",
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"resume": false,
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"seed": 1000,
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"num_workers":
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"batch_size": 88,
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"steps": 1000,
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"eval_freq": 20000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"lr":
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"weight_decay": 0.
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"grad_clip_norm": 10.0,
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"betas": [
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0.9,
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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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}
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}
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"temporal_ensemble_coeff": 0.01,
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"dropout": 0.1,
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"kl_weight": 10.0,
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+
"optimizer_lr": 9.395749453632438e-05,
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+
"optimizer_weight_decay": 0.00016759517236805322,
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+
"optimizer_lr_backbone": 5.516460876525447e-06
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},
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"output_dir": "outputs/train/2025-09-28/16-22-20_act_sweep_batchsize_learningrate",
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"job_name": "act_sweep_batchsize_learningrate",
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"resume": false,
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"seed": 1000,
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"num_workers": 11,
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"batch_size": 88,
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"steps": 1000,
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"eval_freq": 20000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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"lr": 9.395749453632438e-05,
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"weight_decay": 0.00016759517236805322,
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"grad_clip_norm": 10.0,
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"betas": [
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0.9,
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"project": "lerobot",
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"entity": null,
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"notes": null,
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"run_id": "2vrsbcum",
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"mode": null
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}
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}
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