early-stopping-pytorch
                                
                                
                                
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                        Early stopping for PyTorch
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                                            I've been using this EarlyStopping class for my master's thesis project, but I had to modify it slightly to save the model with the lowest val_loss for a given fold...
Do you think the early stopping condition check in line number `36` in `__cal__()` function of `EarlyStopping` class should be less than or equal to instead of just less than?...
as title said