groot-wbc-v2 / training_params.txt
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timestamp = 2026-05-28T08:31:09+00:00
log_file = /home/ubuntu/groot-files/logs/train-2026-05-28-083109.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
checkpoint_dir = /home/ubuntu/groot-files/checkpoints/run-2026-05-28-083109
num_gpus = 4
global_batch_size = 32
max_steps = 300
save_steps = 50
save_total_limit = 10
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 = <auto>