Update README.md

2022-04-25 11:55:30 +08:00
parent 4c31e16841
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@@ -75,6 +75,8 @@ For faster convergence and better results, a large batch size (more than 16) is

 ***We recommend training more than 400K iterations (batch size is 16), 600K~800K will be better, more iterations will not be recommended.***

+VGGFace2 is not a toy dataset like Cifar or Minist that takes a lot of time to learn.
+
 ```
 python train.py --name simswap224_test --batchSize 8  --gpu_ids 0 --dataset /path/to/VGGFace2HQ --Gdeep False
 ```