Grasp fine-tuning Transformers, evaluating deep studying architectures, and deploying sentiment evaluation fashions
This venture supplies an in depth, step-by-step information to fine-tuning a Transformer mannequin for sentiment classification whereas taking you thru your complete Machine Studying pipeline.
Curious for extra? The COMPLETE venture repository awaits you within the Bibliography part on the finish of this tutorial, the place you’ll be able to discover each element hands-on.
We start by defining the issue and getting ready information, then progress via constructing, coaching, and evaluating fashions.
The main focus is on fine-tuning a Transformer mannequin, however we additionally evaluate its efficiency with two conventional deep studying architectures, making certain a well-rounded understanding of the methodologies concerned.
Key ideas like deep studying structure, metric interpretation, and deployment are highlighted all through the venture.
It is a complete studying expertise, designed to deepen your understanding of recent Machine Studying methods.
The dataset used was sourced from carblacac/twitter-sentiment-analysis (Apache 2.0…