Overview
Learn how to train and test an Italian BERT model in this comprehensive video tutorial. Explore the process of creating a RobertaForMaskedLM model using a custom configuration object, setting up the training loop, and handling CUDA errors. Dive into the training results, analyze the loss, and implement a fill-mask pipeline for testing. Follow along as the instructor demonstrates the model's performance with a native Italian speaker. Gain valuable insights into transformer-based language models and their applications in natural language processing for the Italian language.
Syllabus
Intro
Review of Code
Config Object
Setup For Training
Training Loop
Dealing With CUDA Errors
Training Results
Loss
Fill-mask Pipeline For Testing
Testing With Laura
Taught by
James Briggs