Overview
This course teaches how to retrain a masked language model using the Hugging Face Trainer on a specific dataset. The learning outcomes include understanding how to improve the performance of a language model through retraining. The course covers skills such as loading datasets, utilizing Hugging Face models for training, and evaluating model performance. The teaching method is a practical Python coding tutorial. The intended audience for this course is Python programmers interested in natural language processing and machine learning.
Syllabus
Intro and outline:
Loading dataset
Hugging Face Dataset:
Hugging face model and training:
Evaluating the model:
Taught by
rupert ai