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I write a shuffle-large config following swin-large and training on ImageNet22K dataset using apex O1. But the training process is unstable and the loss quickly become NAN. Is there any suggestions about shuffle-large design and training on larger dataset like ImageNet-22K?
The text was updated successfully, but these errors were encountered:
I write a shuffle-large config following swin-large and training on ImageNet22K dataset using apex O1. But the training process is unstable and the loss quickly become NAN. Is there any suggestions about shuffle-large design and training on larger dataset like ImageNet-22K?
The text was updated successfully, but these errors were encountered: