Views
No views yet
nvidia/GR00T-N1.7-3B on 2026-05-28T11:27:53+00:00.
Embodiment: UNITREE_G1_SONIC. Trained on 1 GPUs.timestamp = 2026-05-28T10:18:24+00:00
log_file = /home/ubuntu/groot-files/logs/train-2026-05-28-101824.log
base_model = nvidia/GR00T-N1.7-3B
embodiment_tag = UNITREE_G1_SONIC
dataset_dir = /home/ubuntu/groot-files/dataset_wbc_train
eval_dataset_dir = /home/ubuntu/groot-files/dataset_wbc_eval
eval_steps = 250
eval_num_batches = 50
checkpoint_dir = /home/ubuntu/groot-files/checkpoints/run-2026-05-28-101824
num_gpus = 1
global_batch_size = 8
max_steps = 10000
save_steps = 500
save_total_limit = 20
learning_rate = 1e-4
warmup_ratio = 0.05
weight_decay = 1e-5
dataloader_workers = 6
resume = <none>
use_wandb = 1
wandb_project = groot-wbc
wandb_run_name = groot-wbc-8checkpoint-N/) are pushed incrementally during
training; the top-level files in this repo are the final model state.