Try setting the skip start and end parameters in recorder.plot() eg:
learn.recorder.plot(skip_start=0, skip_end=5)
Ive found this useful sometimes after unfreeze, may also work for your issue above.
I just read your losses are nan-so nothing is going to work till you fix that. I recall a post/some code by sgugger on how to debug nan losses, I’ll see if I can find it.
Here it is, may help you debug:
As your data is tabular-check your data types, for example see the tabulat.ipynb in fastai examples where dtypes are int64, object or float64.
I still can’t resolve the issue. I followed the example and change dtypes accordingly(float64 and int64).
Use the call back function comfirmed the NAN loss issue. However, I have no idea how to debug it. Any suggessions? What things should I try?
I would try cutting down the training dataframe to a small subset of columns, eg 4 categorical and 2 continuous. See if that runs. Then keep expanding the columns till you work out where problem is.
Also, do a git pull to update fastai to latest version