diff --git a/train.py b/train.py
index 766b1112..9f03c04d 100644
--- a/train.py
+++ b/train.py
@@ -42,7 +42,7 @@ hyp = {'giou': 1.582,  # giou loss gain
        'obj': 21.35,  # obj loss gain
        'obj_pw': 3.941,  # obj BCELoss positive_weight
        'iou_t': 0.2635,  # iou training threshold
-       'lr0': 0.010324,  # initial learning rate
+       'lr0': 0.002324,  # initial learning rate
        'lrf': -4.,  # final LambdaLR learning rate = lr0 * (10 ** lrf)
        'momentum': 0.97,  # SGD momentum
        'weight_decay': 0.0004569,  # optimizer weight decay
@@ -360,7 +360,7 @@ if __name__ == '__main__':
     parser.add_argument('--batch-size', type=int, default=32, help='batch size')
     parser.add_argument('--accumulate', type=int, default=2, help='number of batches to accumulate before optimizing')
     parser.add_argument('--cfg', type=str, default='cfg/yolov3-spp.cfg', help='cfg file path')
-    parser.add_argument('--data', type=str, default='data/coco_64img.data', help='coco.data file path')
+    parser.add_argument('--data', type=str, default='data/coco.data', help='coco.data file path')
     parser.add_argument('--multi-scale', action='store_true', help='train at (1/1.5)x - 1.5x sizes')
     parser.add_argument('--img-size', type=int, default=416, help='inference size (pixels)')
     parser.add_argument('--rect', action='store_true', help='rectangular training')