diff --git a/val.py b/val.py
index 1fc98c71198b..ce9919d513af 100644
--- a/val.py
+++ b/val.py
@@ -160,7 +160,8 @@ def run(data,
     dt, p, r, f1, mp, mr, map50, map = [0.0, 0.0, 0.0], 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0
     loss = torch.zeros(3, device=device)
     jdict, stats, ap, ap_class = [], [], [], []
-    for batch_i, (img, targets, paths, shapes) in enumerate(tqdm(dataloader, desc=s)):
+    pbar = tqdm(enumerate(dataloader), desc=s, bar_format='{l_bar}{bar:10}{r_bar}{bar:-10b}')  # progress bar
+    for batch_i, (img, targets, paths, shapes) in pbar:
         t1 = time_sync()
         img = img.to(device, non_blocking=True)
         img = img.half() if half else img.float()  # uint8 to fp16/32