Comments (1)
I got the same problem, do you know how to fix it? Thank you
Just found out, in training and test, the '--use-char-emb', default=False, is different
from bimpm-pytorch.
Related Issues (13)
- Memory issues HOT 1
- RuntimeError: Expected object of backend CUDA but got backend CPU for argument #3 'index' HOT 1
- About the vocabulary constructed on snli HOT 2
- self.TEXT.build_vocab(self.train, self.dev, self.test, vectors=GloVe(name='840B', dim=300)) ,the error always exists.
- Access to pretrained model
- what the grammer about f'XXXXXXXXXXXXXXXXX', i means the f HOT 1
- AttributeError: 'BIMPM' object has no attribute 'mp_w1' HOT 1
- Memory error HOT 5
- Less accuracy in reimplementation HOT 1
- RuntimeError: Cannot initialize CUDA without ATen_cuda library HOT 1
- Improving performance HOT 2
- The hyper parameter for SNLI and QQP
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from bimpm-pytorch.