Comments (8)
yihong-chen
commented on July 19, 2024
Could you share your training curve? I tested the repo using pytorch 0.2 but I guess it should work under 0.3 and 0.4 as well.
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GabbyHE
commented on July 19, 2024
Hi,
Thanks for your kind sharing.
I want to reproduce your results on my device, but my training results are too bad,
The evaluating HR and NDCG of some epochs are 0.0000, do you have any idea about this case? And could you tell me the Pytorch version that you use in your side?Thanks.
@LaceyChen17 @zhiqiangzhongddu , I got the same issue, see the curves 
on dataset ml-1m,
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zhiqiangzhongddu
commented on July 19, 2024
Could you share your training curve? I tested the repo using pytorch 0.2 but I guess it should work under 0.3 and 0.4 as well.
Before, I used Pytorch 1.0.1, the latest version.
I tried Pytorch 0.4.0 with Cuda 80&90, but they don't work.
Error:
RuntimeError: input and target shapes do not match: input [1024 x 1], target [1024].
And I'm not success to install Pytorch 0.2 and 0.3 on my computer. It seems Conda doesn't support them anymore.
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yihong-chen
commented on July 19, 2024
I reproduced the bug in pytorch 1.0 as well. I am working on it now.
Yihong
…________________________________
发件人: Zhiqiang ZHONG <[email protected]>
发送时间: 星期三, 三月 20, 2019 4:51 下午
收件人: LaceyChen17/neural-collaborative-filtering
抄送: Yihong Chen; Mention
主题: Re: [LaceyChen17/neural-collaborative-filtering] question about the version of pytorch (#5)
Could you share your training curve? I tested the repo using pytorch 0.2 but I guess it should work under 0.3 and 0.4 as well.
Before, I used Pytorch 1.0.1, the latest version.
I tried Pytorch 0.4.0 with Cuda 80&90, but they don't work.
Error:
RuntimeError: input and target shapes do not match: input [1024 x 1], target [1024].
And I'm not success to install Pytorch 0.2 and 0.3 on my computer. It seems Conda doesn't support them anymore.
―
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub<#5 (comment)>, or mute the thread<https://github.com/notifications/unsubscribe-auth/ALNdqxT9W3QWAZywswnuowYjVAIyNjN8ks5vYfaCgaJpZM4b8752>.
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zhiqiangzhongddu
commented on July 19, 2024
news: the same bug exists with Pytorch-0.3.1, Cuda=90&80&100 in my computer.
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yihong-chen
commented on July 19, 2024
The bug was mainly caused by MSELoss.
The repo works well under the latest pytorch(1.0.1post2) now.
Thank you for reporting the bug. Also, pay attention to l2_regularization parameter.
Strong l2_regularization might lead to model underfitting and thus HR 0 & NDCG 0.
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GabbyHE
commented on July 19, 2024
The bug was mainly caused by
MSELoss.The repo works well under the latest pytorch(1.0.1post2) now.
Thank you for reporting the bug. Also, pay attention to
l2_regularizationparameter.Strong
l2_regularizationmight lead to model underfitting and thus HR 0 & NDCG 0.
Thanks so much for fixing this bug.
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zhiqiangzhongddu
commented on July 19, 2024
The bug was mainly caused by
MSELoss.The repo works well under the latest pytorch(1.0.1post2) now.
Thank you for reporting the bug. Also, pay attention to
l2_regularizationparameter.Strong
l2_regularizationmight lead to model underfitting and thus HR 0 & NDCG 0.
Thanks.
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Related Issues (19)
- AssertionError: CUDA is not available HOT 4
- Add LICENSE.txt
- the performance of ncf in hr@10 didn't achieve 0.7 HOT 4
- NeuMF algorithm HOT 1
- L2 regularization HOT 1
- Missing layer and training workflow HOT 2
- Does hyper parameter "l2_regularization" works? I didn't find anywhere in "mlp.py" related to this parameter
- size mismatch for fc_layers
- ModuleNotFoundError: No module named 'tensorboardX'
- The NDCG metric HOT 3
- AssertionError
- The GPU utilization is low HOT 2
- The code implementation does not match the original paper HOT 4
- 'checkpoints/gmf_factor8neg4_Epoch100_HR0.6391_NDCG0.2852.model' HOT 12
- How to apply NCF to datasets that only have the number of interactions? HOT 9
- 0 NDCG and HR for training NeuMF and GMF HOT 2
- Test Dataloader for large dataset. HOT 4
- Wrong Neumf config ? HOT 1
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