diff --git a/pyproject.toml b/pyproject.toml
index c11e041..ac9c52b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -17,7 +17,7 @@ dependencies = [
     "requests>=2.32.5",
     "rich>=14.3.1",
     "tensorboard>=2.20.0",
-    "torch>=2.11.0",
+    "torch>=2.10.0",
     "transformers==5.1.0",
     "typer>=0.21.1",
 ]
diff --git a/src/model/trainer.py b/src/model/trainer.py
index 8ae627a..fca8c64 100644
--- a/src/model/trainer.py
+++ b/src/model/trainer.py
@@ -64,7 +64,7 @@ class Trainer:
         grad_accum_steps: int = 1,
         clip_grad_norm: float = 1.0,
         eval_frequency: int = 500,
-        save_frequency: int = 1000,
+        save_frequency: int = 10000,
         mixed_precision: bool = True,
         device: Optional[torch.device] = None,
         use_tensorboard: bool = True,
@@ -507,7 +507,7 @@ class Trainer:
                             if eval_metrics["eval_loss"] < self.best_eval_loss:
                                 self.best_eval_loss = eval_metrics["eval_loss"]
                                 self.save_checkpoint(
-                                    f"step_{global_step}.pt", is_best=True
+                                    f"step_{global_step + 1}.pt", is_best=True
                                 )
 
                         # 记录到TensorBoard
@@ -661,7 +661,7 @@ def train(
     grad_accum_steps: int = typer.Option(1, "--grad-accum-steps", help="梯度累积步数"),
     clip_grad_norm: float = typer.Option(1.0, "--clip-grad-norm", help="梯度裁剪范数"),
     eval_frequency: int = typer.Option(500, "--eval-frequency", help="评估频率"),
-    save_frequency: int = typer.Option(1000, "--save-frequency", help="保存频率"),
+    save_frequency: int = typer.Option(10000, "--save-frequency", help="保存频率"),
     # 其他参数
     mixed_precision: bool = typer.Option(
         True, "--mixed-precision/--no-mixed-precision", help="是否使用混合精度训练"