diff --git a/trl/trainer/dpo_trainer.py b/trl/trainer/dpo_trainer.py
index 916f42072b..8e7555d86d 100644
--- a/trl/trainer/dpo_trainer.py
+++ b/trl/trainer/dpo_trainer.py
@@ -964,14 +964,14 @@ def get_batch_loss_metrics(
         reward_accuracies = (chosen_rewards > rejected_rewards).float()
 
         prefix = "eval_" if train_eval == "eval" else ""
-        metrics[f"{prefix}rewards/chosen"] = chosen_rewards.cpu().mean()
-        metrics[f"{prefix}rewards/rejected"] = rejected_rewards.cpu().mean()
-        metrics[f"{prefix}rewards/accuracies"] = reward_accuracies.cpu().mean()
-        metrics[f"{prefix}rewards/margins"] = (chosen_rewards - rejected_rewards).cpu().mean()
-        metrics[f"{prefix}logps/rejected"] = policy_rejected_logps.detach().cpu().mean()
-        metrics[f"{prefix}logps/chosen"] = policy_chosen_logps.detach().cpu().mean()
-        metrics[f"{prefix}logits/rejected"] = policy_rejected_logits.detach().cpu().mean()
-        metrics[f"{prefix}logits/chosen"] = policy_chosen_logits.detach().cpu().mean()
+        metrics[f"{prefix}rewards/chosen"] = chosen_rewards.mean().cpu()
+        metrics[f"{prefix}rewards/rejected"] = rejected_rewards.mean().cpu()
+        metrics[f"{prefix}rewards/accuracies"] = reward_accuracies.mean().cpu()
+        metrics[f"{prefix}rewards/margins"] = (chosen_rewards - rejected_rewards).mean().cpu()
+        metrics[f"{prefix}logps/rejected"] = policy_rejected_logps.detach().mean().cpu()
+        metrics[f"{prefix}logps/chosen"] = policy_chosen_logps.detach().mean().cpu()
+        metrics[f"{prefix}logits/rejected"] = policy_rejected_logits.detach().mean().cpu()
+        metrics[f"{prefix}logits/chosen"] = policy_chosen_logits.detach().mean().cpu()
 
         return losses.mean(), metrics