about Implementation
WWWJL opened this issue · 10 comments
Hello,I am very interested in your work.and I want to ask some questions, why is the implementation of the code inconsistent with the description in the paper, such as training parameters, learning rate strategy, etc.
The hyperparameters are changing all the time. The published parameters may not be same as the ones we used in the paper.
@WWWJL Is the loss value descending when you train the quality branch? How do you test the quality score and does it work with our pertained model?
@WWWJL Does the quality score work with our pretrained model?
yes, the quality score work with your pretrained model work!As I said above, the reproduced quality model I trained always has a score of 1 on the test set, and the average value of the quality score of each batch is printed during the training process, which is close to 1.
质量分数是否适用于我们的预训练模型？
是的，质量分数适用于您的预训练模型工作！如上所述，我训练的重现质量模型在测试集上总是得分为 1，并且在训练过程中打印出每批质量得分的平均值，接近 1。
i have the same mistake , i also have trained the quality model and the quality score is all 1, have you solved the question?
hello, i have the same mistake , i also have trained the quality model and the quality score is all 1, have you solved the question?