This seems like a stupid question, so apologies if this is somewhere in the docs already (I couldn’t find it).
How do I access the training metrics across epochs, i.e those that are displayed in Jupyter Notebook when using
learn.fit_one_cycle, as a dictionary or pandas dataframe or something else?
They are stored in the recorder:
learn.recorder.metrics is empty and has length 0, any suggestion?
Thanks for your answer @Archaeologist,
learn.validate() returns the last value of
valid_loss, how can I fetch the entire loss data frame?
You mean for each epoch? If so, train for one epoch only, then call learn.validate(). Put this into a loop
yes, for each epoch, I would ideally like to fetch the entire training dataframe (see below):
Look into the
Recorder callback and its