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I trained BYOL on my data and noticed that the weights and biases for BN layers are not updated on the saved model. I used resnet18 without pretrained weights resnet = models.resnet50(pretrained=False). After training for multiple epochs, the saved model has bn1.weight all equal to 1.0 and bn1.bias all equal to 0.0 .
Is this the expected behavior or am I missing something? Appreciate your response!
The text was updated successfully, but these errors were encountered:
Hi @kregmi , I am not maintaining this repo but I am also using this implementation. I trained BYOL and did not experience this issue. I am not sure why it happened to you. Are you sure you saved the network correctly?
Thanks for sharing this repo, great work!
I trained BYOL on my data and noticed that the weights and biases for BN layers are not updated on the saved model. I used resnet18 without pretrained weights
resnet = models.resnet50(pretrained=False)
. After training for multiple epochs, the saved model hasbn1.weight
all equal to 1.0 andbn1.bias
all equal to 0.0 .Is this the expected behavior or am I missing something? Appreciate your response!
The text was updated successfully, but these errors were encountered: