Training a question answering model with fastai & blurr
Following the approach from last week, we’ll cover everything required to train a deployable question answering model. Some notable topics we’ll cover include:
handling long documents
data pre-processing options and
the metrics one should consider for question answering tasks.
What you will learn?
At the end of this session, you will know how to move from your raw data to DataLoaders, how to set up your Learner for training, train, export, and use your fine-tuned question answering models in production.
Signup for the meetup series here: http://wandb.me/hf-fastai2
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Wayde Gilliam: / waydegilliam
Sanyam Bhutani: / bhutanisanyam1
Get started with W&B: http://wandb.me/intro
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