Upload training_20260311_013915_exit2.log with huggingface_hub
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training_20260311_013915_exit2.log
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=== Avatar Training (fire-and-forget) ===
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Script: train_pi0fast.py
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Started: 2026-03-11 01:38:33 UTC
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>>> [0/4] Raising file descriptor limit...
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ulimit -n = 1048576
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>>> [1/4] Setting environment...
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HF_TOKEN set: 37 chars
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WANDB_API_KEY set: 0 chars
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>>> [2/4] Logging into HuggingFace...
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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.
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Token is valid (permission: write).
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The token `avatar` has been saved to /root/.cache/huggingface/stored_tokens
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Your token has been saved to /root/.cache/huggingface/token
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Login successful.
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Note: Environment variable`HF_TOKEN` is set and is the current active token independently from the token you've just configured.
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[33m⚠️ Warning: 'huggingface-cli login' is deprecated. Use 'hf auth login' instead.[0m
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>>> [3/4] Pre-downloading pretrained model...
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Downloading lerobot/pi0fast-base (default)...
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Cached at /root/.cache/huggingface/hub/models--lerobot--pi0fast-base/snapshots/0737e07fac1e63519c0bd38bd869934ecd9c3f86
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GPUs: 1x NVIDIA A100-SXM4-80GB
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>>> [4/4] Launching accelerate with 1 GPUs...
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Script: train_pi0fast.py
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Train args: --dataset fixed_motion_simple --steps 5000 --batch-size 4 --save-freq 1000 --push-to-hub --task-text move arm back and forth
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usage: train_pi0fast.py [-h] --dataset
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{fish_box_left_joint,simple_alpha_backforth,fixed_motion_simple}
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[--steps STEPS] [--batch-size BATCH_SIZE] [--lr LR]
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[--chunk-size CHUNK_SIZE] [--save-freq SAVE_FREQ]
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[--log-freq LOG_FREQ] [--num-workers NUM_WORKERS]
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[--seed SEED] [--push-to-hub]
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[--pretrained-path PRETRAINED_PATH] [--wandb]
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[--output-dir OUTPUT_DIR] --task-text TASK_TEXT
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train_pi0fast.py: error: unrecognized arguments: arm back and forth
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>>> Training finished with exit code 2
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Ended: 2026-03-11 01:39:15 UTC
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>>> Saving training log to HuggingFace...
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