diff --git a/MOAFTrain.py b/MOAFTrain.py
index 1f36f49..a18963e 100644
--- a/MOAFTrain.py
+++ b/MOAFTrain.py
@@ -19,7 +19,7 @@ def train_epoch(model, train_loader, epoch, epochs, device, optimizer, loss_fn):
     model.train()
     train_loss = 0.0
 
-    for data in tqdm(train_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Train]"):
+    for data in tqdm(train_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Train]", ncols=60):
         images, labels = data["image"].to(device, non_blocking=True), data["label"].to(device, non_blocking=True)
         params = torch.stack((data["mag"], data["na"], data["rix"]), dim=1).to(device, non_blocking=True)
 
@@ -38,7 +38,7 @@ def valid_epoch(model, val_loader, epoch, epochs, device, loss_fn):
     val_loss = 0.0
 
     with torch.no_grad():
-        for data in tqdm(val_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Valid]"):
+        for data in tqdm(val_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Valid]", ncols=60):
             images, labels = data["image"].to(device, non_blocking=True), data["label"].to(device, non_blocking=True)
             params = torch.stack((data["mag"], data["na"], data["rix"]), dim=1).to(device, non_blocking=True)
 
diff --git a/MOAFTrainDDP.py b/MOAFTrainDDP.py
index cc18e8e..0674f35 100644
--- a/MOAFTrainDDP.py
+++ b/MOAFTrainDDP.py
@@ -25,7 +25,7 @@ def train_epoch(model, train_loader, epoch, epochs, device, optimizer, loss_fn,
     model.train()
     train_loss = 0.0
 
-    data_iter = tqdm(train_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Train]") if rank in {-1, 0} else train_loader
+    data_iter = tqdm(train_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Train]", ncols=60) if rank in {-1, 0} else train_loader
 
     for data in data_iter:
         images, labels = data["image"].to(device, non_blocking=True), data["label"].to(device, non_blocking=True)
@@ -45,7 +45,7 @@ def valid_epoch(model, val_loader, epoch, epochs, device, loss_fn, rank):
     model.eval()
     val_loss = 0.0
 
-    data_iter = tqdm(val_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Valid]") if rank in {-1, 0} else val_loader
+    data_iter = tqdm(val_loader, desc=f"Epoch {epoch+1:03d}/{epochs:03d} [Valid]", ncols=60) if rank in {-1, 0} else val_loader
 
     with torch.no_grad():
         for data in data_iter: