docs(groot): update training command with image transformation parameters

This commit is contained in:
lbenhorin
2026-07-03 15:31:18 +03:00
parent a28e93f009
commit 5bbdf02750
+11 -4
View File
@@ -116,11 +116,21 @@ GR00T N1.7 has demonstrated strong performance on the LIBERO benchmark suite. To
Example training command for a LIBERO suite (here `libero_spatial`):
```bash
IMAGE_TRANSFORMS='{
"brightness": {"weight": 1.0, "type": "ColorJitter", "kwargs": {"brightness": [0.7, 1.3]}},
"contrast": {"weight": 1.0, "type": "ColorJitter", "kwargs": {"contrast": [0.6, 1.4]}},
"saturation": {"weight": 1.0, "type": "ColorJitter", "kwargs": {"saturation": [0.5, 1.5]}},
"hue": {"weight": 1.0, "type": "ColorJitter", "kwargs": {"hue": [-0.08, 0.08]}}
}'
lerobot-train \
--dataset.repo_id=IPEC-COMMUNITY/libero_spatial_no_noops_1.0.0_lerobot \
--dataset.root=/datasets/libero_spatial \
--dataset.revision=main \
--dataset.video_backend=pyav \
--dataset.image_transforms.enable=true \
--dataset.image_transforms.max_num_transforms=4 \
--dataset.image_transforms.tfs="$IMAGE_TRANSFORMS" \
--policy.type=groot \
--policy.base_model_path=nvidia/GR00T-N1.7-3B \
--policy.embodiment_tag=libero_sim \
@@ -140,10 +150,7 @@ lerobot-train \
--prefetch_factor=2 \
--persistent_workers=true \
--output_dir=$OUTPUT_DIR \
--job_name=$JOB_NAME \
--dataset.image_transforms.enable=true \
--dataset.image_transforms.max_num_transforms=4 \
--dataset.image_transforms.tfs='{"brightness":{"weight":1.0,"type":"ColorJitter","kwargs":{"brightness":[0.7,1.3]}},"contrast":{"weight":1.0,"type":"ColorJitter","kwargs":{"contrast":[0.6,1.4]}},"saturation":{"weight":1.0,"type":"ColorJitter","kwargs":{"saturation":[0.5,1.5]}},"hue":{"weight":1.0,"type":"ColorJitter","kwargs":{"hue":[-0.08,0.08]}}}'
--job_name=$JOB_NAME
```
### GR00T N1.7 LIBERO Results