Fix final LoRA checkpoint report
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@@ -1616,7 +1616,7 @@ def _run_training(args: argparse.Namespace, run: DistributedRun) -> None:
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if args.freeze_thinker:
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if args.freeze_thinker:
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print("Frozen Thinker: no LoRA adapter was created")
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print("Frozen Thinker: no LoRA adapter was created")
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else:
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else:
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print(f"Saved LoRA adapter to {adapter_dir}")
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print(f"Saved LoRA adapter to {output_dir / 'adapter'}")
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print(f"Saved turn head to {output_dir / 'turn_head.pt'}")
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print(f"Saved turn head to {output_dir / 'turn_head.pt'}")
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print(
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print(
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"Peak CUDA allocated across ranks: "
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"Peak CUDA allocated across ranks: "
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