diff --git a/src/trainer/model.py b/src/trainer/model.py
index e78c4ec..dbb4f05 100644
--- a/src/trainer/model.py
+++ b/src/trainer/model.py
@@ -437,13 +437,12 @@ class MoEModel(nn.Module):
                     global_step += 1
                     original_loss = loss.item() * grad_accum_steps
                     batch_loss_sum += original_loss
-
                     # 周期性评估（与原代码相同）
                     if (
                         eval_dataloader is not None
                         and global_step % eval_frequency == 0
                     ):
-                        avg_loss = batch_loss_sum / global_step
+                        avg_loss = batch_loss_sum / eval_frequency
                         acc, _ = self.model_eval(eval_dataloader, criterion)
                         super().train()
                         if monitor is not None: