Instructions to use felsager/smolvla_ms_cube_stack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use felsager/smolvla_ms_cube_stack with LeRobot:
# See https://github.com/huggingface/lerobot?tab=readme-ov-file#installation for more details git clone https://github.com/huggingface/lerobot.git cd lerobot pip install -e .[smolvla]
# Launch finetuning on your dataset python lerobot/scripts/train.py \ --policy.path=felsager/smolvla_ms_cube_stack \ --dataset.repo_id=lerobot/svla_so101_pickplace \ --batch_size=64 \ --steps=20000 \ --output_dir=outputs/train/my_smolvla \ --job_name=my_smolvla_training \ --policy.device=cuda \ --wandb.enable=true
# Run the policy using the record function python -m lerobot.record \ --robot.type=so101_follower \ --robot.port=/dev/ttyACM0 \ # <- Use your port --robot.id=my_blue_follower_arm \ # <- Use your robot id --robot.cameras="{ front: {type: opencv, index_or_path: 8, width: 640, height: 480, fps: 30}}" \ # <- Use your cameras --dataset.single_task="Grasp a lego block and put it in the bin." \ # <- Use the same task description you used in your dataset recording --dataset.repo_id=HF_USER/dataset_name \ # <- This will be the dataset name on HF Hub --dataset.episode_time_s=50 \ --dataset.num_episodes=10 \ --policy.path=felsager/smolvla_ms_cube_stack - Notebooks
- Google Colab
- Kaggle
Upload policy weights, train config and readme
Browse files- README.md +2 -2
- model.safetensors +1 -1
- train_config.json +6 -6
README.md
CHANGED
|
@@ -6,9 +6,9 @@ license: apache-2.0
|
|
| 6 |
model_name: smolvla
|
| 7 |
pipeline_tag: robotics
|
| 8 |
tags:
|
| 9 |
-
- robotics
|
| 10 |
- smolvla
|
| 11 |
- lerobot
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
# Model Card for smolvla
|
|
@@ -85,7 +85,7 @@ The policy consumes these observation features and produces these action feature
|
|
| 85 |
|
| 86 |
| Setting | Value |
|
| 87 |
| --- | --- |
|
| 88 |
-
| Training steps |
|
| 89 |
| Batch size | 256 |
|
| 90 |
| Optimizer | adamw |
|
| 91 |
| Learning rate | 0.0001 |
|
|
|
|
| 6 |
model_name: smolvla
|
| 7 |
pipeline_tag: robotics
|
| 8 |
tags:
|
|
|
|
| 9 |
- smolvla
|
| 10 |
- lerobot
|
| 11 |
+
- robotics
|
| 12 |
---
|
| 13 |
|
| 14 |
# Model Card for smolvla
|
|
|
|
| 85 |
|
| 86 |
| Setting | Value |
|
| 87 |
| --- | --- |
|
| 88 |
+
| Training steps | 200 |
|
| 89 |
| Batch size | 256 |
|
| 90 |
| Optimizer | adamw |
|
| 91 |
| Learning rate | 0.0001 |
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 906712520
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6899ce699e7be5f8bd9efa5e05b31effd0a732459e2ef75ffb90f83231ee27eb
|
| 3 |
size 906712520
|
train_config.json
CHANGED
|
@@ -78,7 +78,7 @@
|
|
| 78 |
"revision": null,
|
| 79 |
"use_imagenet_stats": true,
|
| 80 |
"video_backend": "torchcodec",
|
| 81 |
-
"return_uint8":
|
| 82 |
"depth_output_unit": "mm",
|
| 83 |
"streaming": false,
|
| 84 |
"eval_split": 0.0
|
|
@@ -187,8 +187,8 @@
|
|
| 187 |
"compile_mode": "default"
|
| 188 |
},
|
| 189 |
"reward_model": null,
|
| 190 |
-
"output_dir": "/work/sim_vla_ws/runs/train/
|
| 191 |
-
"job_name": "
|
| 192 |
"resume": false,
|
| 193 |
"seed": 0,
|
| 194 |
"cudnn_deterministic": false,
|
|
@@ -197,9 +197,9 @@
|
|
| 197 |
"prefetch_factor": 4,
|
| 198 |
"persistent_workers": true,
|
| 199 |
"dataloader_multiprocessing_context": "spawn",
|
| 200 |
-
"steps":
|
| 201 |
"env_eval_freq": 20000,
|
| 202 |
-
"log_freq":
|
| 203 |
"eval_steps": 0,
|
| 204 |
"max_eval_samples": 0,
|
| 205 |
"tolerance_s": 0.0001,
|
|
@@ -238,7 +238,7 @@
|
|
| 238 |
"project": "lerobot",
|
| 239 |
"entity": null,
|
| 240 |
"notes": null,
|
| 241 |
-
"run_id": "
|
| 242 |
"mode": null,
|
| 243 |
"add_tags": true
|
| 244 |
},
|
|
|
|
| 78 |
"revision": null,
|
| 79 |
"use_imagenet_stats": true,
|
| 80 |
"video_backend": "torchcodec",
|
| 81 |
+
"return_uint8": true,
|
| 82 |
"depth_output_unit": "mm",
|
| 83 |
"streaming": false,
|
| 84 |
"eval_split": 0.0
|
|
|
|
| 187 |
"compile_mode": "default"
|
| 188 |
},
|
| 189 |
"reward_model": null,
|
| 190 |
+
"output_dir": "/work/sim_vla_ws/runs/train/smolvla_ret_u8",
|
| 191 |
+
"job_name": "smolvla_ret_u8",
|
| 192 |
"resume": false,
|
| 193 |
"seed": 0,
|
| 194 |
"cudnn_deterministic": false,
|
|
|
|
| 197 |
"prefetch_factor": 4,
|
| 198 |
"persistent_workers": true,
|
| 199 |
"dataloader_multiprocessing_context": "spawn",
|
| 200 |
+
"steps": 200,
|
| 201 |
"env_eval_freq": 20000,
|
| 202 |
+
"log_freq": 50,
|
| 203 |
"eval_steps": 0,
|
| 204 |
"max_eval_samples": 0,
|
| 205 |
"tolerance_s": 0.0001,
|
|
|
|
| 238 |
"project": "lerobot",
|
| 239 |
"entity": null,
|
| 240 |
"notes": null,
|
| 241 |
+
"run_id": "7vlt74wy",
|
| 242 |
"mode": null,
|
| 243 |
"add_tags": true
|
| 244 |
},
|