keras_lr_finder
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surmenok
Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
Hi, awesome work! Seems like the update featuring the 'generator' support is not available yet when installing lr_finder by pip.
Thanks for the work! I am wondering if this functionality works with learning rate scheduler (https://keras.io/callbacks/#learningratescheduler), and also custom scheduler like https://gist.github.com/jeremyjordan/5a222e04bb78c242f5763ad40626c452. If not, I think this will be a...
Stop when we reach end_lr even if the loss did not diverge. In some cases, the loss will not increase and diverge, so make sure we stop at end_lr (as...
How to set the values of start_lr, end_lr, batch_size and epochs? In my model, I couldn't get the figures like your example. I used lr_finder.find(X_train, y_train, start_lr=0.0001, end_lr=1, batch_size=512, epochs=5)...
When I use this function in python 2 in virtual environment, it couldn’t plot the figures correctly. The figure was just a vertical line at learning rate with 0.0001. Thanks...
What is kw_fit? I'm trying to make lr_finder work with a keras.Sequence, but I'm unable to do so. In my attempts, I figured out I have no idea of where...
I'm using 3rd party working code that fits a TCN-based model with model.fit(train_seq, steps_per_epoch=len(train_seq), epochs=20) where `train_seq` is a `keras.utils.Sequence` implemented by the following code: def cnn_pad(data, pad_frames): """Pad the...