diff --git a/lmms_eval/tasks/air_bench/utils.py b/lmms_eval/tasks/air_bench/utils.py
index 32ea79c57..448cc4436 100644
--- a/lmms_eval/tasks/air_bench/utils.py
+++ b/lmms_eval/tasks/air_bench/utils.py
@@ -132,7 +132,10 @@ def air_bench_process_results_chat(doc, result):
     eval_answer2, model_name2 = get_eval(max_tokens=1024, content=content)
 
     return {
-        "gpt_eval": {"eval_answer": [eval_answer, eval_answer2], "model_name": model_name},
+        "gpt_eval": {
+            "eval_answer": [eval_answer, eval_answer2],
+            "model_name": model_name,
+        },
     }
 
 
@@ -189,7 +192,10 @@ def air_bench_process_results_foundation(doc, result):
     score = 1.0 if pred == gt_ans else 0.0
     submission_dict = {}
     submission_dict = {doc.get("uniq_id", "unknown"): pred}
-    return {"accuracy": {"score": score, "task": doc["task_name"]}, "submission": submission_dict}
+    return {
+        "accuracy": {"score": score, "task": doc["task_name"]},
+        "submission": submission_dict,
+    }
 
 
 def air_bench_aggregate_results_for_submission(results, args):
@@ -211,7 +217,15 @@ def air_bench_aggregate_results_foundation(results):
         categorical_correct[result["task"]] += result["score"]
         categorical_total[result["task"]] += 1
 
-    return {"overall_accuracy": score / len(results), "categorical_accuracy": {task: categorical_correct[task] / categorical_total[task] for task in categorical_correct.keys()}}
+    overall_accuracy = round(score / len(results), 5)
+    categorical_accuracy = {task: round(categorical_correct[task] / categorical_total[task], 5) for task in categorical_correct.keys()}
+
+    eval_logger.info("=" * 50)
+    eval_logger.info(f"Overall accuracy: {overall_accuracy}")
+    for task, acc in categorical_accuracy.items():
+        eval_logger.info(f"{task} accuracy: {acc}")
+    eval_logger.info("=" * 50)
+    return overall_accuracy
 
 
 def parse_multi_choice_response(response, all_choices):
diff --git a/lmms_eval/tasks/vocalsound/utils.py b/lmms_eval/tasks/vocalsound/utils.py
index 33f893899..1a363040a 100644
--- a/lmms_eval/tasks/vocalsound/utils.py
+++ b/lmms_eval/tasks/vocalsound/utils.py
@@ -63,16 +63,21 @@ def vocalsound_aggregate_results(results):
         group_totals[age_group] += 1
         group_correct[age_group] += accuracy
 
-    return {
-        "overall_accuracy": total_correct / len(results),
-        "categorical_accuracy": {
-            "male_accuracy": round(group_correct["male"] / group_totals.get("male", 1), 5),  # Avoid division by zero
-            "female_accuracy": round(group_correct["female"] / group_totals.get("female", 1), 5),
-            "age_18_25_accuracy": round(group_correct["age1"] / group_totals.get("age1", 1), 5),
-            "age_26_48_accuracy": round(group_correct["age2"] / group_totals.get("age2", 1), 5),
-            "age_49_80_accuracy": round(group_correct["age3"] / group_totals.get("age3", 1), 5),
-        },
+    overall_accuracy = round(total_correct / len(results), 5)
+    categorical_accuracy = {
+        "male_accuracy": round(group_correct["male"] / group_totals.get("male", 1), 5),  # Avoid division by zero
+        "female_accuracy": round(group_correct["female"] / group_totals.get("female", 1), 5),
+        "age_18_25_accuracy": round(group_correct["age1"] / group_totals.get("age1", 1), 5),
+        "age_26_48_accuracy": round(group_correct["age2"] / group_totals.get("age2", 1), 5),
+        "age_49_80_accuracy": round(group_correct["age3"] / group_totals.get("age3", 1), 5),
     }
+    eval_logger.info("=" * 50)
+    eval_logger.info(f"Overall accuracy: {overall_accuracy}")
+    eval_logger.info("Categorical accuracy: ")
+    for key, value in categorical_accuracy.items():
+        eval_logger.info(f"{key} accuracy: {value}")
+    eval_logger.info("=" * 50)
+    return overall_accuracy
 
 
 def get_answer(response):