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 +1 -1
- model.safetensors +1 -1
- train_config.json +5 -5
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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- 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 |
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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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- 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 | 60000 |
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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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"private": null,
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"tags": null,
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"license": null,
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"pretrained_path": "outputs/train/2026-07-23/02-38-42_resume/checkpoints/040000/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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model.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 206699736
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version https://git-lfs.github.com/spec/v1
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oid sha256:c14fb64a7bda17c9e4f323c652420f4c5fd82dbe637ad1bf1c1b29500b6413f8
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size 206699736
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train_config.json
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@@ -126,7 +126,7 @@
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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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"optimizer_lr_backbone": 1e-05
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},
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"reward_model": null,
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"output_dir": "outputs/train/
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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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"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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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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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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"save_checkpoint_to_hub": true,
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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": "outputs/train/2026-07-23/02-38-42_resume/checkpoints/040000/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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"optimizer_lr_backbone": 1e-05
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},
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"reward_model": null,
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"output_dir": "outputs/train/2026-07-23/02-38-42_resume",
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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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"batch_size": 16,
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"prefetch_factor": 4,
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"persistent_workers": true,
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"steps": 60000,
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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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"max_eval_samples": 0,
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"tolerance_s": 0.0001,
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"save_checkpoint": true,
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"save_freq": 5000,
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"use_policy_training_preset": true,
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"optimizer": {
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"type": "adamw",
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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": "outputs/train/2026-07-23/02-38-42_resume/checkpoints/040000"
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}
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