diff --git a/src/llamafactory/train/dpo/trainer.py b/src/llamafactory/train/dpo/trainer.py
index da593d8d..c0ebc301 100644
--- a/src/llamafactory/train/dpo/trainer.py
+++ b/src/llamafactory/train/dpo/trainer.py
@@ -203,7 +203,7 @@ class CustomDPOTrainer(DPOTrainer):
                 bco_losses = self.bco_loss(
                     policy_chosen_logps, policy_rejected_logps, reference_chosen_logps, reference_rejected_logps
                 )
-                losses += bco_losses * self.bco_gemma
+                losses = (losses + bco_losses * self.bco_gemma) / (1.0 + self.bco_gemma)  # re-weight W_p and W_q
 
         return losses, chosen_rewards, rejected_rewards
 
@@ -284,9 +284,6 @@ class CustomDPOTrainer(DPOTrainer):
         sft_loss = -policy_chosen_logps_avg
         if self.ftx_gamma > 1e-6:
             losses += self.ftx_gamma * sft_loss
-            if self.bco_gemma > 1e-6:
-                # re-weigthing for MPO
-                losses /= self.ftx_gamma + self.bco_gemma + 1.0
 
         prefix = "eval_" if train_eval == "eval" else ""
         metrics[f"{prefix}rewards/chosen"] = chosen_rewards.mean().item()