diff --git a/.github/README_cn.md b/.github/README_cn.md
index d0cf6b9ff3bd..4184c4c683d0 100644
--- a/.github/README_cn.md
+++ b/.github/README_cn.md
@@ -111,11 +111,11 @@ python detect.py --source 0  # 网络摄像头
 数据集结果. [模型](https://github.com/ultralytics/yolov5/tree/master/models) 和 [数据集](https://github.com/ultralytics/yolov5/tree/master/data) 自动从最新的YOLOv5 [版本](https://github.com/ultralytics/yolov5/releases) 中下载。YOLOv5n/s/m/l/x的训练时间在V100 GPU上是 1/2/4/6/8天（多GPU倍速）. 尽可能使用最大的 `--batch-size`, 或通过 `--batch-size -1` 来实现 YOLOv5 [自动批处理](https://github.com/ultralytics/yolov5/pull/5092). 批量大小显示为 V100-16GB。
 
 ```bash
-python train.py --data coco.yaml --cfg yolov5n.yaml --weights '' --batch-size 128
-                                       yolov5s                                64
-                                       yolov5m                                40
-                                       yolov5l                                24
-                                       yolov5x                                16
+python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  --batch-size 128
+                                                                 yolov5s                    64
+                                                                 yolov5m                    40
+                                                                 yolov5l                    24
+                                                                 yolov5x                    16
 ```
 
 <img width="800" src="https://user-images.githubusercontent.com/26833433/90222759-949d8800-ddc1-11ea-9fa1-1c97eed2b963.png">
diff --git a/README.md b/README.md
index 7cb4d09446ca..efe7d4b090bc 100644
--- a/README.md
+++ b/README.md
@@ -126,11 +126,11 @@ largest `--batch-size` possible, or pass `--batch-size -1` for
 YOLOv5 [AutoBatch](https://github.com/ultralytics/yolov5/pull/5092). Batch sizes shown for V100-16GB.
 
 ```bash
-python train.py --data coco.yaml --cfg yolov5n.yaml --weights '' --batch-size 128
-                                       yolov5s                                64
-                                       yolov5m                                40
-                                       yolov5l                                24
-                                       yolov5x                                16
+python train.py --data coco.yaml --epochs 300 --weights '' --cfg yolov5n.yaml  --batch-size 128
+                                                                 yolov5s                    64
+                                                                 yolov5m                    40
+                                                                 yolov5l                    24
+                                                                 yolov5x                    16
 ```
 
 <img width="800" src="https://user-images.githubusercontent.com/26833433/90222759-949d8800-ddc1-11ea-9fa1-1c97eed2b963.png">
diff --git a/segment/train.py b/segment/train.py
index 5a5f15f10d84..7950f95df4f2 100644
--- a/segment/train.py
+++ b/segment/train.py
@@ -463,7 +463,7 @@ def parse_opt(known=False):
     parser.add_argument('--cfg', type=str, default='', help='model.yaml path')
     parser.add_argument('--data', type=str, default=ROOT / 'data/coco128-seg.yaml', help='dataset.yaml path')
     parser.add_argument('--hyp', type=str, default=ROOT / 'data/hyps/hyp.scratch-low.yaml', help='hyperparameters path')
-    parser.add_argument('--epochs', type=int, default=300, help='total training epochs')
+    parser.add_argument('--epochs', type=int, default=100, help='total training epochs')
     parser.add_argument('--batch-size', type=int, default=16, help='total batch size for all GPUs, -1 for autobatch')
     parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=640, help='train, val image size (pixels)')
     parser.add_argument('--rect', action='store_true', help='rectangular training')
diff --git a/train.py b/train.py
index c24a8e81531d..e882748581bf 100644
--- a/train.py
+++ b/train.py
@@ -433,7 +433,7 @@ def parse_opt(known=False):
     parser.add_argument('--cfg', type=str, default='', help='model.yaml path')
     parser.add_argument('--data', type=str, default=ROOT / 'data/coco128.yaml', help='dataset.yaml path')
     parser.add_argument('--hyp', type=str, default=ROOT / 'data/hyps/hyp.scratch-low.yaml', help='hyperparameters path')
-    parser.add_argument('--epochs', type=int, default=300, help='total training epochs')
+    parser.add_argument('--epochs', type=int, default=100, help='total training epochs')
     parser.add_argument('--batch-size', type=int, default=16, help='total batch size for all GPUs, -1 for autobatch')
     parser.add_argument('--imgsz', '--img', '--img-size', type=int, default=640, help='train, val image size (pixels)')
     parser.add_argument('--rect', action='store_true', help='rectangular training')