添加PEFT库的初始化文件，更新数据集导入路径，修改训练脚本以支持新的PEFT类型和配置，新增持续学习模型配置类，添加PEFT类型枚举，更新评估和训练逻辑以适应新结构

src/utils/args.py

@@ -1,17 +1,21 @@
 from dataclasses import dataclass, field
 from typing import Optional
+from trl import ScriptArguments, ModelConfig
+from transformers import TrainingArguments
 
 
 @dataclass
-class ContinualScriptArguments:
+class ContinualScriptArguments(ScriptArguments):
     """Script arguments for continual learning."""
 
     dataset_name: list[str] = field(
         default_factory=lambda: ["cifar10", "cifar100", "imagenet2012"]
     )
-    dataset_config: Optional[str] = None
-    dataset_train_split: str = "train"
-    dataset_test_split: str = "test"
     dataset_generation_split: str = "generation"
-    gradient_checkpointing_use_reentrant: bool = False
-    ignore_bias_buffers: bool = False
+
+
+@dataclass
+class ContinualModelConfig(ModelConfig):
+    """Model configuration for continual learning."""
+
+    peft_type: Optional[str] = None