first add

examples/01_basic/conf/config.yaml

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+# 基础配置示例
+learning_rate: 0.001
+batch_size: 32
+epochs: 100
+model_name: "ResNet50"
+device: "cuda"

examples/01_basic/train.py

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+"""基础Hydra配置管理示例"""
+
+import hydra
+from omegaconf import DictConfig
+from rich.console import Console
+from rich.table import Table
+
+console = Console()
+
+@hydra.main(version_base=None, config_path="conf", config_name="config")
+def train(cfg: DictConfig) -> None:
+    console.print("\n[bold green]🚀 基础Hydra配置示例[/bold green]\n")
+    
+    table = Table(title="当前配置")
+    table.add_column("参数", style="cyan")
+    table.add_column("值", style="yellow")
+    
+    table.add_row("学习率", str(cfg.learning_rate))
+    table.add_row("批次大小", str(cfg.batch_size))
+    table.add_row("训练轮数", str(cfg.epochs))
+    table.add_row("模型名称", cfg.model_name)
+    
+    console.print(table)
+    console.print("\n[bold green]✅ 训练完成！[/bold green]\n")
+
+if __name__ == "__main__":
+    train()