Instructions to use Cache-SCA/Gr00t_n1.5-IsaacLab-SO101-Multi_Task-30fps_8epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use Cache-SCA/Gr00t_n1.5-IsaacLab-SO101-Multi_Task-30fps_8epoch with LeRobot:
- Notebooks
- Google Colab
- Kaggle
Upload GR00T N1.5 fine-tuned policy at step 110000
Browse files- README.md +130 -0
- config.json +113 -0
- model.safetensors +3 -0
- policy_postprocessor.json +20 -0
- policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors +3 -0
- policy_preprocessor.json +52 -0
- policy_preprocessor_step_2_groot_pack_inputs_v3.safetensors +3 -0
- train_config.json +257 -0
README.md
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| 1 |
+
---
|
| 2 |
+
library_name: lerobot
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| 3 |
+
pipeline_tag: robotics
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| 4 |
+
base_model: nvidia/GR00T-N1.5-3B
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| 5 |
+
base_model_relation: finetune
|
| 6 |
+
datasets:
|
| 7 |
+
- CoRL2026-CSI/Isaaclab-so101_11task_baseCaP_3300epi
|
| 8 |
+
license: other
|
| 9 |
+
license_name: nvidia-license
|
| 10 |
+
license_link: https://developer.download.nvidia.com/licenses/NVIDIA-OneWay-Noncommercial-License-22Mar2022.pdf
|
| 11 |
+
tags:
|
| 12 |
+
- robotics
|
| 13 |
+
- lerobot
|
| 14 |
+
- groot
|
| 15 |
+
- gr00t-n1.5
|
| 16 |
+
- so101
|
| 17 |
+
- imitation-learning
|
| 18 |
+
- flow-matching
|
| 19 |
+
- safetensors
|
| 20 |
+
---
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| 21 |
+
|
| 22 |
+
# CoRL2026-CSI/IsaacLab-so101-multi-gr00t
|
| 23 |
+
|
| 24 |
+
This is a LeRobot GR00T N1.5 policy fine-tuned from
|
| 25 |
+
[`nvidia/GR00T-N1.5-3B`](https://huggingface.co/nvidia/GR00T-N1.5-3B) on
|
| 26 |
+
[`CoRL2026-CSI/Isaaclab-so101_11task_baseCaP_3300epi`](https://huggingface.co/datasets/CoRL2026-CSI/Isaaclab-so101_11task_baseCaP_3300epi).
|
| 27 |
+
|
| 28 |
+
The model is intended for SO-101 style manipulation experiments using RGB observations,
|
| 29 |
+
robot proprioception, language instructions, and continuous action chunks. It is uploaded
|
| 30 |
+
as a LeRobot policy checkpoint and should be loaded through the matching LeRobot GR00T
|
| 31 |
+
implementation used for training.
|
| 32 |
+
|
| 33 |
+
## Model Details
|
| 34 |
+
|
| 35 |
+
- **Policy type:** GR00T N1.5
|
| 36 |
+
- **Base model:** `nvidia/GR00T-N1.5-3B`
|
| 37 |
+
- **Tokenizer assets:** `lerobot/eagle2hg-processor-groot-n1p5`
|
| 38 |
+
- **Embodiment tag:** `new_embodiment`
|
| 39 |
+
- **Observation steps:** `1`
|
| 40 |
+
- **Action chunk size:** `16`
|
| 41 |
+
- **Action steps:** `16`
|
| 42 |
+
- **Max state/action dims:** `64` / `32`
|
| 43 |
+
|
| 44 |
+
## Fine-Tuning Setup
|
| 45 |
+
|
| 46 |
+
- **Training steps:** `110000`
|
| 47 |
+
- **Approx. epochs:** `7.99`
|
| 48 |
+
- **Final training samples:** `28160000`
|
| 49 |
+
- **Final training loss:** `0.010196`
|
| 50 |
+
- **Runtime:** `76.72 hours`
|
| 51 |
+
- **Micro batch size:** `64`
|
| 52 |
+
- **Gradient accumulation steps:** `2`
|
| 53 |
+
- **Effective batch size:** `256`
|
| 54 |
+
- **Optimizer:** `adamw`, lr `0.0001`, weight decay `1e-05`
|
| 55 |
+
- **Scheduler:** `cosine_decay_with_warmup`
|
| 56 |
+
- **Mixed precision:** bf16 policy weights/config enabled: `true`
|
| 57 |
+
- **VLM/LLM backbone fine-tuned:** `false`
|
| 58 |
+
- **Vision tower fine-tuned:** `false`
|
| 59 |
+
- **Action projector fine-tuned:** `true`
|
| 60 |
+
- **Action DiT fine-tuned:** `true`
|
| 61 |
+
|
| 62 |
+
The GR00T vision-language backbone was frozen for this run. The action head projector
|
| 63 |
+
and flow-matching diffusion transformer were fine-tuned.
|
| 64 |
+
|
| 65 |
+
## Inputs
|
| 66 |
+
|
| 67 |
+
- `observation.ee_pos.robot_xyzrpy`: `STATE`, shape `[6]`
|
| 68 |
+
- `observation.gripper_binary`: `STATE`, shape `[1]`
|
| 69 |
+
- `observation.images.left_wrist`: `VISUAL`, shape `[3, 480, 640]`
|
| 70 |
+
- `observation.images.top`: `VISUAL`, shape `[3, 480, 640]`
|
| 71 |
+
- `observation.state`: `STATE`, shape `[6]`
|
| 72 |
+
- `observation.state.radian_urdf0`: `STATE`, shape `[6]`
|
| 73 |
+
|
| 74 |
+
## Outputs
|
| 75 |
+
|
| 76 |
+
- `action`: `ACTION`, shape `[6]`
|
| 77 |
+
- `action.radian_urdf0`: `ACTION`, shape `[6]`
|
| 78 |
+
|
| 79 |
+
## Usage
|
| 80 |
+
|
| 81 |
+
Install and use the same LeRobot checkout/environment that contains the GR00T policy
|
| 82 |
+
implementation, then point `policy.path` to this Hub repo.
|
| 83 |
+
|
| 84 |
+
```bash
|
| 85 |
+
lerobot-record \
|
| 86 |
+
--robot.type=<your_robot> \
|
| 87 |
+
--dataset.repo_id=<your_eval_dataset_repo> \
|
| 88 |
+
--policy.path=CoRL2026-CSI/IsaacLab-so101-multi-gr00t \
|
| 89 |
+
--episodes=10
|
| 90 |
+
```
|
| 91 |
+
|
| 92 |
+
For local Python usage, load the policy with LeRobot's policy factory or GR00T policy
|
| 93 |
+
loader from the training checkout.
|
| 94 |
+
|
| 95 |
+
## Evaluation
|
| 96 |
+
|
| 97 |
+
This upload records the offline training run metrics only. No rollout success rate is
|
| 98 |
+
claimed here unless a separate real/sim evaluation is added later.
|
| 99 |
+
|
| 100 |
+
Final logged training metrics:
|
| 101 |
+
|
| 102 |
+
- loss: `0.010196`
|
| 103 |
+
- grad norm: `0.193945`
|
| 104 |
+
- update time: `1.2521 s/step`
|
| 105 |
+
- dataloading time: `0.0046 s/step`
|
| 106 |
+
|
| 107 |
+
## Limitations and Safety
|
| 108 |
+
|
| 109 |
+
This model is a robot control policy and can produce unsafe actions if deployed on
|
| 110 |
+
hardware without appropriate validation, workspace limits, emergency stop handling, and
|
| 111 |
+
task-specific safety checks. Test in simulation or a constrained setup before any
|
| 112 |
+
physical deployment.
|
| 113 |
+
|
| 114 |
+
The model is specialized to the training dataset and embodiment configuration. It may
|
| 115 |
+
not transfer reliably to different cameras, calibration, action spaces, robot hardware,
|
| 116 |
+
or tasks without further validation or fine-tuning.
|
| 117 |
+
|
| 118 |
+
## License and Terms
|
| 119 |
+
|
| 120 |
+
This model is a fine-tune of `nvidia/GR00T-N1.5-3B`; users are responsible for complying
|
| 121 |
+
with the NVIDIA model license and any dataset/license constraints. See the base model
|
| 122 |
+
card and NVIDIA license terms linked in the metadata.
|
| 123 |
+
|
| 124 |
+
## Files
|
| 125 |
+
|
| 126 |
+
- `model.safetensors`: fine-tuned policy weights
|
| 127 |
+
- `config.json`: LeRobot GR00T policy config
|
| 128 |
+
- `train_config.json`: training configuration
|
| 129 |
+
- `policy_preprocessor.json` and `policy_postprocessor.json`: LeRobot processor pipelines
|
| 130 |
+
- `policy_*_step_*.safetensors`: normalization/statistics state used by processors
|
config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"type": "groot",
|
| 3 |
+
"n_obs_steps": 1,
|
| 4 |
+
"input_features": {
|
| 5 |
+
"observation.state": {
|
| 6 |
+
"type": "STATE",
|
| 7 |
+
"shape": [
|
| 8 |
+
6
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
"observation.images.top": {
|
| 12 |
+
"type": "VISUAL",
|
| 13 |
+
"shape": [
|
| 14 |
+
3,
|
| 15 |
+
480,
|
| 16 |
+
640
|
| 17 |
+
]
|
| 18 |
+
},
|
| 19 |
+
"observation.images.left_wrist": {
|
| 20 |
+
"type": "VISUAL",
|
| 21 |
+
"shape": [
|
| 22 |
+
3,
|
| 23 |
+
480,
|
| 24 |
+
640
|
| 25 |
+
]
|
| 26 |
+
},
|
| 27 |
+
"observation.ee_pos.robot_xyzrpy": {
|
| 28 |
+
"type": "STATE",
|
| 29 |
+
"shape": [
|
| 30 |
+
6
|
| 31 |
+
]
|
| 32 |
+
},
|
| 33 |
+
"observation.gripper_binary": {
|
| 34 |
+
"type": "STATE",
|
| 35 |
+
"shape": [
|
| 36 |
+
1
|
| 37 |
+
]
|
| 38 |
+
},
|
| 39 |
+
"observation.state.radian_urdf0": {
|
| 40 |
+
"type": "STATE",
|
| 41 |
+
"shape": [
|
| 42 |
+
6
|
| 43 |
+
]
|
| 44 |
+
}
|
| 45 |
+
},
|
| 46 |
+
"output_features": {
|
| 47 |
+
"action": {
|
| 48 |
+
"type": "ACTION",
|
| 49 |
+
"shape": [
|
| 50 |
+
6
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"action.radian_urdf0": {
|
| 54 |
+
"type": "ACTION",
|
| 55 |
+
"shape": [
|
| 56 |
+
6
|
| 57 |
+
]
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"device": "cuda",
|
| 61 |
+
"use_amp": false,
|
| 62 |
+
"use_peft": false,
|
| 63 |
+
"push_to_hub": true,
|
| 64 |
+
"repo_id": "CoRL2026-CSI/IsaacLab-so101-multi-gr00t",
|
| 65 |
+
"private": null,
|
| 66 |
+
"tags": null,
|
| 67 |
+
"license": null,
|
| 68 |
+
"pretrained_path": null,
|
| 69 |
+
"chunk_size": 16,
|
| 70 |
+
"n_action_steps": 16,
|
| 71 |
+
"max_state_dim": 64,
|
| 72 |
+
"max_action_dim": 32,
|
| 73 |
+
"normalization_mapping": {
|
| 74 |
+
"VISUAL": "IDENTITY",
|
| 75 |
+
"STATE": "MEAN_STD",
|
| 76 |
+
"ACTION": "MEAN_STD"
|
| 77 |
+
},
|
| 78 |
+
"image_size": [
|
| 79 |
+
224,
|
| 80 |
+
224
|
| 81 |
+
],
|
| 82 |
+
"base_model_path": "nvidia/GR00T-N1.5-3B",
|
| 83 |
+
"tokenizer_assets_repo": "lerobot/eagle2hg-processor-groot-n1p5",
|
| 84 |
+
"embodiment_tag": "new_embodiment",
|
| 85 |
+
"tune_llm": false,
|
| 86 |
+
"tune_visual": false,
|
| 87 |
+
"tune_projector": true,
|
| 88 |
+
"tune_diffusion_model": true,
|
| 89 |
+
"lora_rank": 0,
|
| 90 |
+
"lora_alpha": 16,
|
| 91 |
+
"lora_dropout": 0.1,
|
| 92 |
+
"lora_full_model": false,
|
| 93 |
+
"optimizer_lr": 0.0001,
|
| 94 |
+
"optimizer_betas": [
|
| 95 |
+
0.95,
|
| 96 |
+
0.999
|
| 97 |
+
],
|
| 98 |
+
"optimizer_eps": 1e-08,
|
| 99 |
+
"optimizer_weight_decay": 1e-05,
|
| 100 |
+
"warmup_ratio": 0.05,
|
| 101 |
+
"use_bf16": true,
|
| 102 |
+
"video_backend": "decord",
|
| 103 |
+
"balance_dataset_weights": true,
|
| 104 |
+
"balance_trajectory_weights": true,
|
| 105 |
+
"dataset_paths": null,
|
| 106 |
+
"output_dir": "./tmp/gr00t",
|
| 107 |
+
"save_steps": 1000,
|
| 108 |
+
"max_steps": 10000,
|
| 109 |
+
"batch_size": 32,
|
| 110 |
+
"dataloader_num_workers": 8,
|
| 111 |
+
"report_to": "wandb",
|
| 112 |
+
"resume": false
|
| 113 |
+
}
|
model.safetensors
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f4fa283b77eed3cf2e41e0303fc2ea99b7ac226c049db5a35b5890055cc6ef17
|
| 3 |
+
size 5448472032
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policy_postprocessor.json
ADDED
|
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| 1 |
+
{
|
| 2 |
+
"name": "policy_postprocessor",
|
| 3 |
+
"steps": [
|
| 4 |
+
{
|
| 5 |
+
"registry_name": "groot_action_unpack_unnormalize_v1",
|
| 6 |
+
"config": {
|
| 7 |
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| 14 |
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|
| 19 |
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|
| 20 |
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|
policy_postprocessor_step_0_groot_action_unpack_unnormalize_v1.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 19016
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policy_preprocessor.json
ADDED
|
@@ -0,0 +1,52 @@
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|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
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|
| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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|
| 12 |
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|
| 13 |
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|
| 28 |
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|
| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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|
| 35 |
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| 37 |
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"registry_name": "groot_eagle_encode_v3",
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 51 |
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| 52 |
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|
policy_preprocessor_step_2_groot_pack_inputs_v3.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 19016
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train_config.json
ADDED
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@@ -0,0 +1,257 @@
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