URLs.IMDB => xxpad xxpad xxpad xxpad xxpad xxpad xxpad

[zerotosingularity (Jan Van de Poel)]

I’ve been facing the xxpad issue as well. Here is the link to my forum post on how to look at your samples:

Text show_batch shows only the paddings

I’ve been struggling with this as well, but there seems to be an easy way to see the full sample. You can increase the trunc_at=150: For your dataloaders: dls.show_batch(max_n=10, trunc_at=500) For your plot_top_losses to see where your models makes the biggest mistakes: interp = ClassificationInterpretation.from_learner(learn) interp.plot_top_losses(10, trunc_at=500) You might need to increase above 500 as well of course, just have a look at the printed result to see if you can read enoug…

With regards to your trained model, how did you train it and what metrics do you get?