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Update README.md
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neuralchen committed Apr 25, 2022
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Expand Up @@ -77,7 +77,6 @@ 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
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