Instructions to use antwoor/chvt_2_default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use antwoor/chvt_2_default with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- model.safetensors +1 -1
- train_config.json +3 -3
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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- lerobot
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- act
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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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- act
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- lerobot
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---
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# Model Card for act
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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 206709300
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version https://git-lfs.github.com/spec/v1
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oid sha256:f27c8357f49ded0193b9c37d5e5e70c0ad985de0db9be5d610f8f3722a787fdf
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size 206709300
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train_config.json
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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": "outputs/train/
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"job_name": "act",
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"batch_size": 8,
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"steps":
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"eval_freq": -1,
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"log_freq": 50,
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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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"optimizer_weight_decay": 0.0001,
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"optimizer_lr_backbone": 1e-05
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},
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"output_dir": "outputs/train/chvt_2_default_tune",
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"job_name": "act",
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"resume": false,
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"seed": 1000,
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"num_workers": 4,
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"batch_size": 8,
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"steps": 10000,
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"eval_freq": -1,
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"log_freq": 50,
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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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