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@ -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).