Regression using Fine-tuned Language Model

[quan.tran]

I think it’s a bit too late for your competition (I hope it’s not PetFinder…) but I wrote some code to create a new Databunch for tab + text and train a model with that and it seems to work.

Build mixed databunch and train end-to-end model for Tabular (categorical + continuous data) and Text data

Hi everyone, So I have been searching for a way to combine and train tabular + text data with all the good stuff from fastai (databunch api, 1 cycle training, callbacks …) to do some Kaggle competitions and came across this awesome blog post by @wgpubs in which he created a tabular + text databunch using databunch API. I changed few line of codes to get it to work on fastai 1.0.51+ and then built a custom model to combine RNN/LSTM and MLP (neural net layers) for end-to-end training. Tested on K…