Ye Canming 叶璨铭
Ye Canming 叶璨铭
My full code is a little bit complicated, but I believe the problem is just within the above logics, did I use Lightning wrong in the above code?
grateful if somrone can give me any idea about what may cause such issue. i thought about if the cls_model is errorly frozen, but it is not, parameters of it...
may be it is related to this issue https://github.com/Lightning-AI/pytorch-lightning/issues/20128 i am also using huggingface's automodel from pretrain, and mode is eval. i tried to manually called training,but it doesnot work
No, it is not because of that issue. I double checked that I called `nn.Module.train()` ever since I use `AutoModel.from_pretrained`.
To debug, I print the parameters and gradients 's L2 norm every time `training_step` is called. Something interesting happens. ```log Grad Norm: 0.08665306866168976 Params Norm before step: 771.8257446289062 Params Norm...
This solves issue https://github.com/thunlp/OpenDelta/issues/82
If we have already fitted many TabularPredictors individually, like one for deep learning, one for statistical learning, and one for the proposed method, fit_extra may not be the best-designed API...
Here it is https://github.com/MarcoGorelli/absolufy-imports
I've written a `nbscholar` lib to extend nbdev, and I made a `nbscholar_separate` command to help with this issue. If anyone has a similar need to my issue, feel free...
This is an excellent and well-articulated issue that resonates deeply with my own experience using nbdev in modern Python development workflows. You've perfectly captured the growing pain points around tooling...