diff --git a/llms/mlx_lm/lora.py b/llms/mlx_lm/lora.py
index ff3ff752..0775d23e 100644
--- a/llms/mlx_lm/lora.py
+++ b/llms/mlx_lm/lora.py
@@ -287,7 +287,7 @@ def evaluate_model(args, model: nn.Module, tokenizer: TokenizerWrapper, test_set
     model.eval()
 
     if args.training_mode == "orpo":
-        test_loss, test_rewards, _, _ = evaluate_orpo(
+        test_loss, test_rewards, _, test_metrics = evaluate_orpo(
             model=model,
             dataset=test_set,
             batch_size=args.batch_size,
@@ -297,6 +297,10 @@ def evaluate_model(args, model: nn.Module, tokenizer: TokenizerWrapper, test_set
         )
         test_ppl = math.exp(test_loss)
         print(f"Test loss {test_loss:.3f}, Test ppl {test_ppl:.3f}, Rewards: {test_rewards[0]:.3f}, {test_rewards[1]:.3f}")
+
+        print("ORPO Test Metrics:")
+        for metric_name, metric_value in test_metrics.items():
+            print(f"  {metric_name}: {float(metric_value):.3f}")
     else:
         test_loss = evaluate(
             model=model,