diff --git a/train.py b/train.py
index 01a0eeee..c005480a 100644
--- a/train.py
+++ b/train.py
@@ -173,7 +173,7 @@ def train():
                                   hyp=hyp,  # augmentation hyperparameters
                                   rect=opt.rect,  # rectangular training
                                   image_weights=opt.img_weights,
-                                  cache_images=opt.cache_images)
+                                  cache_images=False if opt.prebias else opt.cache_images)
 
     # Dataloader
     dataloader = torch.utils.data.DataLoader(dataset,
@@ -197,6 +197,7 @@ def train():
     maps = np.zeros(nc)  # mAP per class
     results = (0, 0, 0, 0, 0, 0, 0)  # 'P', 'R', 'mAP', 'F1', 'val GIoU', 'val Objectness', 'val Classification'
     t0 = time.time()
+    print('Starting %s for %g epochs...' % ('prebias' if opt.prebias else 'training', epochs))
     for epoch in range(start_epoch, epochs):  # epoch ------------------------------------------------------------------
         model.train()
         print(('\n' + '%10s' * 8) % ('Epoch', 'gpu_mem', 'GIoU', 'obj', 'cls', 'total', 'targets', 'img_size'))