Comments (3)
Hi.
I have not touched this repository for a long time and i'm not sure if the Pytorch API has changed. (this was made when Pytorch first came out).
That aside, perhaps it is something to do with the learning rate? the loss looks like it's changing (dropping).
I noticed the model tends to predict a single class for quite awhile even when it works. Maybe some hyperparameter tuning could help?
I'm a little busy with other projects currently but will let u know when I get back to check on what's wrong with this repository.
Thanks for your feedback.
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Fair enough. Thanks for your response.
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@clockworked247 Excuse me. I also meet the problem you said, do you know how to solve it. Thank you!
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Related Issues (8)
- Task Definition HOT 5
- The test loss does not change
- Error using Anaconda Python 3.6 in pickle
- RuntimeError: module compiled against API version 0xb but this version of numpy is 0xa
- modulenorm = p.grad.data.norm() AttributeError: 'NoneType' object has no attribute 'data' HOT 2
- ATT-RNN RuntimeError: invalid argument 0: Tensors must have same number of dimensions: got 2 and 3 at /opt/conda/conda-bld/pytorch_1518238409320/work/torch/lib/THC/generic/THCTensorMath.cu:102
- TypeError: iteration over a 0-d tensor HOT 2
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