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cant get 0.58 acc
Hi, yumoxu.
great work about your paper, but i tried to reproduce the results you mentioned in your paper.
only 0.53 i can get.
Is there any tricks i should know to get 0.58?
Thanks
I have the same question !
I got acc: 0.574405 without doing anything special. Not 0.58 acc still, but I guess we can get 0.58 with more trials?
@Chih-Ling-Hsu I wonder what things you did. I run the code with GTX 1080Ti and default config,yml, only get 0.435516 in the test set.
I also run the code with GTX 1080Ti and default config.yml, following the instructions in README file. I have tried a second time and still get 0.57 acc so I guess it was not just a rare case.
@Chih-Ling-Hsu
Have you checked the majority of the stock movement of the pre-processed data?
不管怎么调,结果每次都是 0.5744。有问题!
@Chih-Ling-Hsu I wonder what things you did. I run the code with GTX 1080Ti and default config,yml, only get 0.435516 in the test set.
Mine is 0.483135 not much different both in py27 and py36 with CUDA10
I also run the code with GTX 1080Ti and default config.yml, following the instructions in README file. I have tried a second time and still get 0.57 acc so I guess it was not just a rare case.
I tried with Tesla P100 and got the same result with you by 30 epochs.
i have the same question
@Chih-Ling-Hsu I wonder what things you did. I run the code with GTX 1080Ti and default config,yml, only get 0.435516 in the test set.
Mine is 0.483135 not much different both in py27 and py36 with CUDA10
Hi, I'm running this repo with CUDA10. It takes a long time to finish one epoch. Did this happen in your test?
I got acc: 0.574405 without doing anything special. Not 0.58 acc still, but I guess we can get 0.58 with more trials?
The test dataset has 1008 samples, 579 of which are positive. 0.574405=579/1008. Maybe you should check your confusion matrix to see whether all samples in the testset were predicted to be positive.
does anyone here have this implementation on pytorch or tensorflow2 ? i'm a beginner i want to run this on colab but it doesn't work since it required tensorflow 2
不管怎么调,结果每次都是 0.5744。有问题!
请问vocab.txt是什么呢,怎么下载呀
Hi, yumoxu.
great work about your paper, but i tried to reproduce the results you mentioned in your paper.
only 0.53 i can get.
Is there any tricks i should know to get 0.58?
Thanks
Hi, could you plz tell me what the vocab.txt refer to? Where can I download it?