Instructions to use ExponentialJet/hf_act_pick_red_v2_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use ExponentialJet/hf_act_pick_red_v2_2 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 +6 -6
README.md
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@@ -5,8 +5,8 @@ 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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- robotics
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- lerobot
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---
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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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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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| Setting | Value |
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| --- | --- |
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| Training steps | 40000 |
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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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},
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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": "/content/outputs/train/pick_red_v2_2_record/checkpoints/last/pretrained_model",
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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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},
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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 206699736
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version https://git-lfs.github.com/spec/v1
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oid sha256:f4727630b0505f2f9c32cf6e7e7b2d8e713b66bac6497ef2fa459c60b60e6d14
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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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},
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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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"reward_model": null,
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"output_dir": "outputs/train/pick_red_v2_2_record",
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"job_name": "pick_red_v2_2_training_job",
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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": 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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"detach": false,
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"tags": []
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},
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"save_checkpoint_to_hub":
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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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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "/content/outputs/train/pick_red_v2_2_record/checkpoints/last/pretrained_model",
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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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},
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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/pick_red_v2_2_record",
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"job_name": "pick_red_v2_2_training_job",
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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": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 40000,
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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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"detach": false,
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"tags": []
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},
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"save_checkpoint_to_hub": true,
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"sample_weighting": null,
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"rename_map": {},
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"checkpoint_path": "/content/outputs/train/pick_red_v2_2_record/checkpoints/last"
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}
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