The transformer architecture that is taking over all of machine learning was initially used for NLP. This series will introduce the transformer and use Jupyter notebooks to walk through gathering data, loading models from HuggingFace, training, and fine-tuning transformer models for language tasks. The entire series will take about 4-5 Saturdays in December and January.
This session will focus on fine-tuning a pretrained transformer model instead of training it from scratch. Everyone is welcome!
Agenda
12:00 - 12:10 pm -- Arrival
12:10 - 1:30 pm -- Discussion and questions
Time permitting, breakout sessions
Links to notes/slides and videos of prior meetups are available on the SDML GitHub repo https://github.com/SanDiegoMachineLea...
Location
This will be an online meetup until further notice.
Please Note: You must have a Zoom login in order to join the event. A free Zoom account will work. If you get an error message joining the Zoom, please login to your Zoom account and try again.
Questions?
Join our slack channel for questions and discussion about what's new in ML.
https://join.slack.com/t/sdmachinelea...