=== Avatar Training (fire-and-forget) === Script: train_pi0fast.py Started: 2026-03-11 01:38:33 UTC >>> [0/4] Raising file descriptor limit... ulimit -n = 1048576 >>> [1/4] Setting environment... HF_TOKEN set: 37 chars WANDB_API_KEY set: 0 chars >>> [2/4] Logging into HuggingFace... The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `hf`CLI if you want to set the git credential as well. Token is valid (permission: write). The token `avatar` has been saved to /root/.cache/huggingface/stored_tokens Your token has been saved to /root/.cache/huggingface/token Login successful. Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured. ⚠️ Warning: 'huggingface-cli login' is deprecated. Use 'hf auth login' instead. >>> [3/4] Pre-downloading pretrained model... Downloading lerobot/pi0fast-base (default)... Fetching 6 files: 0%| | 0/6 [00:00>> [4/4] Launching accelerate with 1 GPUs... Script: train_pi0fast.py Train args: --dataset fixed_motion_simple --steps 5000 --batch-size 4 --save-freq 1000 --push-to-hub --task-text move arm back and forth usage: train_pi0fast.py [-h] --dataset {fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple} [--steps STEPS] [--batch-size BATCH_SIZE] [--lr LR] [--chunk-size CHUNK_SIZE] [--save-freq SAVE_FREQ] [--log-freq LOG_FREQ] [--num-workers NUM_WORKERS] [--seed SEED] [--push-to-hub] [--pretrained-path PRETRAINED_PATH] [--wandb] [--output-dir OUTPUT_DIR] --task-text TASK_TEXT train_pi0fast.py: error: unrecognized arguments: arm back and forth >>> Training finished with exit code 2 Ended: 2026-03-11 01:39:15 UTC >>> Saving training log to HuggingFace...