diff --git a/README.md b/README.md
index ca3c2d9f..29e51744 100644
--- a/README.md
+++ b/README.md
@@ -451,11 +451,11 @@ Usually sufficient 2000 iterations for each class(object), but not less than 400
   > Region Avg IOU: 0.798363, Class: 0.893232, Obj: 0.700808, No Obj: 0.004567, Avg Recall: 1.000000,  count: 8
   > Region Avg IOU: 0.800677, Class: 0.892181, Obj: 0.701590, No Obj: 0.004574, Avg Recall: 1.000000,  count: 8
   >
-  > **9002**: 0.211667, **0.060730 avg**, 0.001000 rate, 3.868000 seconds, 576128 images
+  > **9002**: 0.211667, **0.60730 avg**, 0.001000 rate, 3.868000 seconds, 576128 images
   > Loaded: 0.000000 seconds
 
   * **9002** - iteration number (number of batch)
-  * **0.060730 avg** - average loss (error) - **the lower, the better**
+  * **0.60730 avg** - average loss (error) - **the lower, the better**
 
   When you see that average loss **0.xxxxxx avg** no longer decreases at many iterations then you should stop training. The final avgerage loss can be from `0.05` (for a small model and easy dataset) to `3.0` (for a big model and a difficult dataset).