fix(data-process): 发布精确三路数据切分
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@@ -265,6 +265,9 @@ def build_command(config: dict[str, Any], llama_factory_home: str = "/app/LLaMA-
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]
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if dataset_dir:
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command.extend(["--dataset_dir", str(dataset_dir)])
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eval_dataset = config.get("eval_dataset")
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if eval_dataset:
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command.extend(["--eval_dataset", str(eval_dataset), "--do_eval", "true"])
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_optional_arg(config, command, "--cutoff_len", "max_length", "cutoff_len")
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_optional_arg(config, command, "--lr_scheduler_type", "lr_scheduler_type")
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_optional_arg(config, command, "--warmup_ratio", "warmup_ratio")
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@@ -273,7 +276,8 @@ def build_command(config: dict[str, Any], llama_factory_home: str = "/app/LLaMA-
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_optional_arg(config, command, "--lora_alpha", "lora_alpha")
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_optional_arg(config, command, "--lora_dropout", "lora_dropout")
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_optional_arg(config, command, "--gradient_accumulation_steps", "gradient_accumulation_steps")
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_optional_arg(config, command, "--val_size", "val_size")
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if not eval_dataset:
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_optional_arg(config, command, "--val_size", "val_size")
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_optional_arg(config, command, "--max_samples", "max_samples")
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_optional_arg(config, command, "--preprocessing_num_workers", "preprocessing_num_workers")
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_optional_bool_arg(config, command, "--fp16", "fp16")
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@@ -293,4 +297,3 @@ def parse_log_line(line: str) -> dict[str, float] | None:
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if match:
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result[key] = float(match.group(1))
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return result or None
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