mirror of
https://github.com/hiyouga/LLaMA-Factory.git
synced 2025-12-16 11:50:35 +08:00
tiny fix
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@@ -51,6 +51,14 @@ class ModelArguments:
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default=None,
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metadata={"help": "Path to the directory containing the checkpoints of the reward model."}
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)
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resume_lora_training: Optional[bool] = field(
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default=True,
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metadata={"help": "Whether to resume training from the last LoRA weights or create new weights after merging them."}
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)
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plot_loss: Optional[bool] = field(
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default=False,
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metadata={"help": "Whether to plot the training loss after fine-tuning or not."}
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)
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def __post_init__(self):
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if self.checkpoint_dir is not None: # support merging lora weights
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@@ -173,14 +181,6 @@ class FinetuningArguments:
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default="q_proj,v_proj",
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metadata={"help": "Name(s) of target modules to apply LoRA. Use comma to separate multiple modules."}
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)
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resume_lora_training: Optional[bool] = field(
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default=True,
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metadata={"help": "Whether to resume training from the last LoRA weights or create new weights after merging them."}
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)
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plot_loss: Optional[bool] = field(
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default=False,
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metadata={"help": "Whether to plot the training loss after fine-tuning or not."}
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)
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def __post_init__(self):
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if isinstance(self.lora_target, str):
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