diff --git a/scripts/train.py b/scripts/train.py
index ad128d1..a6f1fa8 100644
--- a/scripts/train.py
+++ b/scripts/train.py
@@ -148,7 +148,6 @@ def evaluate(
     env: gym.Env,
     policy: NTupleNetworkBasePolicy,
     eval_episodes: int,
-    show_progress: bool = False,
 ) -> dict[str, Any]:
     """
     Evaluates the performance of the current policy.
@@ -162,24 +161,19 @@ def evaluate(
     :param env: Game environment.
     :param policy: Policy to evaluate.
     :param eval_episodes: Number of games to play.
-    :param show_progress: True to show progress, False otherwise.
     :return: Performance measures.
     """
     winning_rate = 0
     total_score = 0
     max_tile = 0
 
-    iterator = (
-        trange(eval_episodes, desc="Evaluate", unit="episode", leave=False)
-        if show_progress
-        else range(eval_episodes)
-    )
-
-    for _ in iterator:
-        info = play_game(env=env, policy=policy)
-        winning_rate += int(2 ** info["max"] >= 2048)
-        total_score += info["total_score"]
-        max_tile = max(max_tile, 2 ** info["max"])
+    with trange(eval_episodes, desc="Evaluate", unit="episode", leave=False) as pbar:
+        for _ in pbar:
+            info = play_game(env=env, policy=policy)
+            winning_rate += int(2 ** info["max"] >= 2048)
+            total_score += info["total_score"]
+            max_tile = max(max_tile, 2 ** info["max"])
+            pbar.set_postfix({"max_tile": max_tile})
 
     return {
         "winning_rate": winning_rate / eval_episodes,
@@ -239,7 +233,6 @@ def train() -> None:
                     env=env,
                     policy=policy,
                     eval_episodes=args.eval_episodes,
-                    show_progress=True,
                 )
                 log_eval_metrics(episode=e, metrics=metrics)