early-stopping-pytorch
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Bjarten
Early stopping for PyTorch
Is it normal that the validation set loss is less than the training set loss here?
Hi. Thanks for your resources :) They are giving great help to my research. BTW, isn't it correct to save the previous model when the loss decreases? It seems like...
If gradients are exploding, the loss function can return nan, which is interpreted as a decrease in the validation loss. An additional if statement should be added with an np.isnan(score)...
Hello @Bjarten I am trying to use your approach for the early stopping. I installed pytorchtools by using "pip install pytorchtools" Then I wanted to import EarlyStopping using "from pytorchtools...
## Problem In current [save_checkpoint](https://github.com/Bjarten/early-stopping-pytorch/blob/f1a4cad7ebe762c1e3ca9e74c0845a555616952b/pytorchtools.py#L46) function, if the model is on multiple GPUs, i.e. model is a instance of [torch.nn.DataParallel](https://pytorch.org/docs/stable/generated/torch.nn.DataParallel.html), and then the saved checkpoint could not be loaded again....
Hi I use that example in my code but i got that problem Traceback (most recent call last): File "/mnt/HDD/train_Model_1.py", line 237, in train_loss = np.average(train_losses) File "", line 6,...
Implemented a feature to save general information that can be used to resume training or inference.
I'm back again, I added support for metrics and it had to change the whole code. Feel free to review my code to discuss variable naming and algorithmic implementation. Don't...
Error message:ImportError: cannot import name 'BalancedDataParallel' from 'pytorchtools' Sorry to trouble you! I hava followed your method and solved "ModuleNotFoundError: No module named 'pytorchtools'" but met another problem. How can...
Packaging is pretty easy these days, just add a `pyproject.toml`. It would be cool to add one to this repo. Then, people can at least `pip install` directly from GitHub...
