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Thank you for your impressive work. But when I try to recurrent this network(I rewrite the code myself), sometimes the loss will suddenly increase by 10 times. The structure of the network is correct because I can load the pretrained network, so I think there may be some details I didn't notice. Could you tell me what methods you have taken in training to ensure stability?
The text was updated successfully, but these errors were encountered:
Thank you for your impressive work. But when I try to recurrent this network(I rewrite the code myself), sometimes the loss will suddenly increase by 10 times. The structure of the network is correct because I can load the pretrained network, so I think there may be some details I didn't notice. Could you tell me what methods you have taken in training to ensure stability?
I have also encountered this issue recently, despite using gradient clipping strategy. How did you solve it?
Thank you for your impressive work. But when I try to recurrent this network(I rewrite the code myself), sometimes the loss will suddenly increase by 10 times. The structure of the network is correct because I can load the pretrained network, so I think there may be some details I didn't notice. Could you tell me what methods you have taken in training to ensure stability?
The text was updated successfully, but these errors were encountered: