diff --git a/utils/common.py b/utils/common.py
index a4b6b81..77c3735 100644
--- a/utils/common.py
+++ b/utils/common.py
@@ -11,6 +11,7 @@ from sklearn.utils.class_weight import compute_class_weight
 import logging
 import matplotlib.pyplot as plt
 from matplotlib.font_manager import FontProperties
+import copy
 
 # 控制是否打印的宏定义
 PRINT_LOG = True
@@ -207,7 +208,7 @@ class MLModel:
                 best_val_recall = class_recalls_m
                 best_val_precision = class_precisions_m
                 best_epoch = epoch
-                best_model = self.model.state_dict()
+                best_model = copy.deepcopy(self.model.state_dict())
                 trigger_times = 0
             else:
                 trigger_times += 1
@@ -215,6 +216,9 @@ class MLModel:
                     log_print(f'Early stopping at epoch {epoch} | Best epoch : {best_epoch + 1}')
                     break
 
+        # 训练完全结束后，加载最佳模型的状态
+        self.model.load_state_dict(best_model)
+
         return best_val_f1, best_val_recall, best_val_precision, best_epoch, best_model
 
     def train_detect(self):
@@ -251,7 +255,10 @@ class MLModel:
 
         best_val_f1, best_val_recall, best_val_precision, best_epoch, best_model = self.train_model(train_loader, val_loader, criterion, optimizer, scheduler)
 
-        # Save the best model
+        # 确保使用的是最佳模型
+        self.model.load_state_dict(best_model)
+        
+        # 保存最佳模型
         self.save_model(self.config['train_model_path'])
 
         log_print(f"Best Validation F1 Score (Macro): {best_val_f1:.4f}")