diff --git a/codes/train.py b/codes/train.py
index 9a2e8a80..a3c4edd2 100644
--- a/codes/train.py
+++ b/codes/train.py
@@ -210,7 +210,7 @@ class Trainer:
                         self.tb_logger.add_scalar(k, v, self.current_step)
             if opt['wandb'] and self.rank <= 0:
                 import wandb
-                wandb.log(logs, step=self.current_step)
+                wandb.log(logs, step=int(self.current_step * opt_get(opt, ['wandb_step_factor'], 1)))
             self.logger.info(message)
 
         #### save models and training states