Instructions to use maximellerbach/omx_multicubes_act with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use maximellerbach/omx_multicubes_act with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- config.json +2 -2
- model.safetensors +1 -1
- train_config.json +7 -7
README.md
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---
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datasets: maximellerbach/
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library_name: lerobot
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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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- robotics
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- act
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---
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# Model Card for act
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---
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datasets: maximellerbach/omx_multicubes_merged
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library_name: lerobot
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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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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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"chunk_size": 30,
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"n_action_steps": 30,
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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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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/omx_multicubes/checkpoints/last/pretrained_model",
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"chunk_size": 30,
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"n_action_steps": 30,
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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 206413008
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef30f27d708f1eab7d344954db6b6c66939b12f1270f504a60970a8ec42e95e1
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size 206413008
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train_config.json
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{
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"dataset": {
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"repo_id": "maximellerbach/
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"root": null,
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"episodes": null,
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"image_transforms": {
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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": 30,
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"n_action_steps": 30,
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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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"output_dir": "outputs/train/omx_multicubes",
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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": 4,
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"batch_size":
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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": 200,
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"tolerance_s": 0.0001,
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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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"dataset": {
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"repo_id": "maximellerbach/omx_multicubes_merged",
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"root": null,
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"episodes": null,
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"image_transforms": {
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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/omx_multicubes/checkpoints/last/pretrained_model",
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"chunk_size": 30,
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"n_action_steps": 30,
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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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},
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"output_dir": "outputs/train/omx_multicubes",
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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": 4,
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"batch_size": 32,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 56000,
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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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"rabc_epsilon": 1e-06,
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"rabc_head_mode": "sparse",
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"rename_map": {},
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"checkpoint_path": "outputs/train/omx_multicubes/checkpoints/last"
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}
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