-
Notifications
You must be signed in to change notification settings - Fork 49
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
the val_loss can't converge in tensorflow 1.15.2, while tf 1.2.1 works #32
Comments
It might be because Tensorflow 1.15.2 made some important changes which actually made some difference here. It's been a long time since the release of TensorFlow 1.2.1. Can you please share what changes you made to the original code in order to adapt it to TensorFlow 1.15.2? You might also want to check out #24. |
I just change some codes to adapt python3, while made no changes to the model. I just saw the requirements.txt said to use tensorflow 1.15.2. |
Hi, the original code was tested under Tensorflow 1.2.1. I changed it to Tensorflow = 1.15.2 in requirements.txt as suggested by Github due to the security issue. Can you try Tensorflow 1.2.1 first to see if it works? |
Running train.py with Tensorflow 1.15.2 in 20news, I got the val_loss 0.6x, while the training loss got 0.0x
However, the problem won't happen in tensorflow 1.2.1. Other dependencies are same with requirement.txt
Would you mind if you check this problem?
The text was updated successfully, but these errors were encountered: