diff --git a/train.py b/train.py
index d67a6296..52648fbb 100644
--- a/train.py
+++ b/train.py
@@ -22,6 +22,7 @@ def train(
         resume=False,
         epochs=100,
         batch_size=16,
+        accumulated_batches=1,
         weights_path='weights',
         report=False,
         multi_scale=False,
@@ -153,10 +154,10 @@ def train(
             loss = model(imgs.to(device), targets, batch_report=report, var=var)
             loss.backward()
 
-            # accumulated_batches = 1  # accumulate gradient for 4 batches before optimizing
-            # if ((i + 1) % accumulated_batches == 0) or (i == len(dataloader) - 1):
-            optimizer.step()
-            optimizer.zero_grad()
+            # accumulate gradient for x batches before optimizing
+            if ((i + 1) % accumulated_batches == 0) or (i == len(dataloader) - 1):
+                optimizer.step()
+                optimizer.zero_grad()
 
             # Running epoch-means of tracked metrics
             ui += 1
@@ -237,6 +238,7 @@ if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument('--epochs', type=int, default=100, help='number of epochs')
     parser.add_argument('--batch-size', type=int, default=16, help='size of each image batch')
+    parser.add_argument('--accumulated-batches', type=int, default=1, help='number of batches before optimizer step')
     parser.add_argument('--data-config', type=str, default='cfg/coco.data', help='path to data config file')
     parser.add_argument('--cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
     parser.add_argument('--multi-scale', action='store_true', help='random image sizes per batch 320 - 608')
@@ -244,7 +246,7 @@ if __name__ == '__main__':
     parser.add_argument('--weights-path', type=str, default='weights', help='path to store weights')
     parser.add_argument('--resume', action='store_true', help='resume training flag')
     parser.add_argument('--report', action='store_true', help='report TP, FP, FN, P and R per batch (slower)')
-    parser.add_argument('--freeze', action='store_true', help='freeze darknet53.conv.74 layers for first epoche')
+    parser.add_argument('--freeze', action='store_true', help='freeze darknet53.conv.74 layers for first epoch')
     parser.add_argument('--var', type=float, default=0, help='optional test variable')
     opt = parser.parse_args()
     print(opt, end='\n\n')
@@ -259,6 +261,7 @@ if __name__ == '__main__':
         resume=opt.resume,
         epochs=opt.epochs,
         batch_size=opt.batch_size,
+        accumulated_batches=opt.accumulated_batches,
         weights_path=opt.weights_path,
         report=opt.report,
         multi_scale=opt.multi_scale,