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Thansk for your work. I use your model.
missing keys in state_dict: {'base_model.base.28.bias', 'net_vlad.conv.weight', 'base_model.base.19.bias', 'base_model.base.28.weight', 'base_model.base.24.bias', 'base_model.base.26.weight', 'base_model.base.5.weight', 'base_model.base.7.weight', 'base_model.base.17.bias', 'base_model.base.12.weight', 'net_vlad.centroids', 'base_model.base.7.bias', 'base_model.base.0.bias', 'base_model.base.14.weight', 'base_model.base.5.bias', 'base_model.base.21.bias', 'base_model.base.19.weight',
The text was updated successfully, but these errors were encountered:
It shows that the keys of pre-trained weights cannot match the state_dict of the model. Please provide your detailed steps. I cannot localize the issue given such a simple description.
Thansk for your work. I use your model.
missing keys in state_dict: {'base_model.base.28.bias', 'net_vlad.conv.weight', 'base_model.base.19.bias', 'base_model.base.28.weight', 'base_model.base.24.bias', 'base_model.base.26.weight', 'base_model.base.5.weight', 'base_model.base.7.weight', 'base_model.base.17.bias', 'base_model.base.12.weight', 'net_vlad.centroids', 'base_model.base.7.bias', 'base_model.base.0.bias', 'base_model.base.14.weight', 'base_model.base.5.bias', 'base_model.base.21.bias', 'base_model.base.19.weight',
The text was updated successfully, but these errors were encountered: