Instructions to use RoboticsCollectiveAachen/act_piper_hexagonal_bolt_insertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use RoboticsCollectiveAachen/act_piper_hexagonal_bolt_insertion with LeRobot:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Piper
How to use RoboticsCollectiveAachen/act_piper_hexagonal_bolt_insertion with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
ACT policy, 45k steps on piper-hexagonal-bolt-insertion-100-demos-v1
Browse files- config.json +1 -1
- model.safetensors +1 -1
- policy_preprocessor_step_3_normalizer_processor.safetensors +2 -2
- train_config.json +6 -6
config.json
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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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"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 206707964
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version https://git-lfs.github.com/spec/v1
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oid sha256:b8caa046f7da3e85dc7354bfd4d5ac3705f169bf5fed1e84270be0c7d87c5678
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size 206707964
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policy_preprocessor_step_3_normalizer_processor.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3da949b9f3be407bc929f95664faae923a03f43bab2bfdeb9e0e34231cc5fc63
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size 7608
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train_config.json
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@@ -152,7 +152,7 @@
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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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@@ -173,15 +173,15 @@
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"reward_model": null,
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"output_dir": "outputs/train/act_piper_bolt_insertion_2gpu",
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"job_name": "act_piper_bolt_insertion_2gpu",
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"resume":
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"seed": 1000,
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"cudnn_deterministic": false,
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"num_workers":
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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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"dataloader_multiprocessing_context": "spawn",
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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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},
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"scheduler": null,
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"parallelism": {
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"dp_replicate":
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"dp_shard": 1,
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"context_parallel": {
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"ring_degree": 1,
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"save_checkpoint_to_hub": false,
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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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},
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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/act_piper_bolt_insertion_2gpu",
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"job_name": "act_piper_bolt_insertion_2gpu",
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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": 3,
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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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"dataloader_multiprocessing_context": "spawn",
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+
"steps": 80000,
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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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},
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"scheduler": null,
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"parallelism": {
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"dp_replicate": 3,
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"dp_shard": 1,
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"context_parallel": {
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"ring_degree": 1,
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"save_checkpoint_to_hub": false,
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"sample_weighting": null,
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"rename_map": {},
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+
"checkpoint_path": "outputs/train/act_piper_bolt_insertion_2gpu/checkpoints/last"
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}
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