groot-bs64 / training_params.txt
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timestamp = 2026-05-26T21:02:27+00:00
log_file = /home/ubuntu/groot-files/logs/train-2026-05-26-210227.log
base_model = nvidia/GR00T-N1.7-3B
embodiment_tag = UNITREE_G1_SONIC
dataset_dir = /home/ubuntu/groot-files/dataset
hf_dataset = LucaFrat/dataset_100
checkpoint_dir = /home/ubuntu/groot-files/checkpoints/g1_finetune
num_gpus = 1
visible_gpu = 1
global_batch_size = 64
max_steps = 15000
save_steps = 3000
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-finetune
wandb_run_name = <auto>