diff --git a/train.py b/train.py
index 6c0ead81..d64257fb 100644
--- a/train.py
+++ b/train.py
@@ -7,7 +7,7 @@ from utils.utils import *
 
 parser = argparse.ArgumentParser()
 parser.add_argument('-epochs', type=int, default=100, help='number of epochs')
-parser.add_argument('-batch_size', type=int, default=4, help='size of each image batch')
+parser.add_argument('-batch_size', type=int, default=8, help='size of each image batch')
 parser.add_argument('-data_config_path', type=str, default='cfg/coco.data', help='data config file path')
 parser.add_argument('-cfg', type=str, default='cfg/yolov3.cfg', help='cfg file path')
 parser.add_argument('-img_size', type=int, default=32 * 19, help='size of each image dimension')
@@ -128,7 +128,7 @@ def main(opt):
             loss = model(imgs.to(device), targets, requestPrecision=True)
             loss.backward()
 
-            accumulated_batches = 4  # accumulate gradient for 4 batches before stepping optimizer
+            accumulated_batches = 2  # accumulate gradient for 4 batches before stepping optimizer
             if ((i+1) % accumulated_batches == 0) or (i == len(dataloader) - 1):
                 optimizer.step()
                 optimizer.zero_grad()
diff --git a/utils/gcp.sh b/utils/gcp.sh
index 0643ef30..fd89d383 100644
--- a/utils/gcp.sh
+++ b/utils/gcp.sh
@@ -1,13 +1,13 @@
 #!/usr/bin/env bash
 
 # Start
-sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3 && python3 train.py -img_size 416
+sudo rm -rf yolov3 && git clone https://github.com/ultralytics/yolov3 && cd yolov3 && python3 train.py -batch_size 8
 
 # Resume
-python3 train.py -img_size 416 -resume 1
+python3 train.py -resume 1
 
 # Detect
-gsutil cp gs://ultralytics/fresh9_5_e201.pt yolov3/weights
+gsutil cp gs://ultralytics/yolov3.pt yolov3/weights
 python3 detect.py
 
 # Test