@Esteban as @cedric pointed out we are trying to create a multilingual version of ulmfit ported to v1.0, the script are working but the accuracy is inferior to the previous work of Jeremy. I’m looking into that since some time and I think it is due to different tokenization we used (to follow xnli task). So if you are after high accuracy stay with fastai 0.7 for the time being. Once we have the issues fixed in v1.0 I will everyone know in Multilingual ULMFiT so simply start watching this channel.
On the other-hand if you want to help out with the tuning a multilingual version of ulmfit for fastai v1.0 let me know.