diff --git a/save_checkpoint.py b/save_checkpoint.py
index 0ced157..24c1a0c 100644
--- a/save_checkpoint.py
+++ b/save_checkpoint.py
@@ -5,6 +5,7 @@ import pytorch_lightning as pl
 import shutil
 from pytorch_lightning.utilities import rank_zero_info
 from utils import zip_dir
+import re
 
 
 class SaveCheckpoint(ModelCheckpoint):
@@ -67,14 +68,15 @@ class SaveCheckpoint(ModelCheckpoint):
 
         if self.check_monitor_top_k(trainer, current):
             self._update_best_and_save(current, trainer, monitor_candidates)
-            if self.mode=='max':
+            if self.mode == 'max':
                 best_model_value = max([float(item) for item in list(self.best_k_models.values())])
             else:
                 best_model_value = min([float(item) for item in list(self.best_k_models.values())])
             version_name = 'version_unkown'
-            for item in self.dirpath.split('\\'):
+            for item in re.split(r'[/|\\]', self.dirpath):
                 if 'version_' in item:
                     version_name = item
+                    break
             # 保存版本信息(准确率等)到txt中
             if not os.path.exists('./logs/default/version_info.txt'):
                 with open('./logs/default/version_info.txt', 'w', encoding='utf-8') as f:
diff --git a/utils.py b/utils.py
index e34a8de..7e9a000 100644
--- a/utils.py
+++ b/utils.py
@@ -106,24 +106,5 @@ def get_ckpt_path(version_nth: int, kth_fold: int):
         return ckpt_path[0].replace('\\', '/')
 
 
-def rwxl():
-    # 写
-    # dataset_xl = xl.Workbook(write_only=True)
-    # dataset_sh = dataset_xl.create_sheet('dataset', 0)
-    # for row in range(self.x.shape[0]):
-    #     for col in range(self.x.shape[1]):
-    #         dataset_sh.cell(row + 1, col + 1).value = float(self.x[row, col])
-    #     dataset_sh.cell(row + 1, self.x.shape[1] + 1).value = float(self.y[row])
-    # dataset_xl.save(dataset_path + '/dataset.xlsx')
-    # dataset_xl.close()
-    # 读
-    # dataset_xl = xl.load_workbook(dataset_path + '/dataset_list.xlsx', read_only=True)
-    # dataset_sh = dataset_xl.get_sheet_by_name('dataset_list')
-    # temp = [[dataset_sh[row + 1][col].value for col in range(config['dim_in'] + 1)] for row in
-    #         range(config['dataset_len'])]
-    # dataset_xl.close()
-    pass
-
-
 if __name__ == "__main__":
     get_ckpt_path('version_0')