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libero: lint launch headers (drop GPU counts), drop sweep mention
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docs/action_policy_libero_sft.md

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@@ -46,8 +46,7 @@ bash examples/launch_sft_action_policy_libero.sh # HSDP 2x8; set NNODES/NODE_R
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Recipe knobs live in `action_policy_libero_nano`; the TOML sets run-level scalars
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(lr 5e-5, warmup 500, cycle 16000, `save_iter=500`, HSDP 2x8). Global batch is
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2048 = `max_samples_per_batch` 128 × 16 ranks × grad_accum 1. Sweep the saved
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checkpoints to pick the best iteration.
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2048 = `max_samples_per_batch` 128 × 16 ranks × grad_accum 1.
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## 3. Closed-loop eval
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examples/launch_sft_action_policy_libero.sh

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# hf download nvidia/LIBERO_LeRobot_v3 --repo-type dataset --include 'libero_10/**' --local-dir <dir>
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# export LIBERO_ROOT=<dir>/libero_10
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#
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# Usage (8-GPU allocation, inside the training container, from the repo root):
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# Usage (HSDP 2x8; set NNODES/NODE_RANK/MASTER_ADDR per node):
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# LIBERO_ROOT=<dir>/libero_10 bash examples/launch_sft_action_policy_libero.sh
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TOML_FILE="examples/toml/sft_config/action_policy_libero_repro.toml"

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