Process of Adapting a Supervised Pre-trained Model

Advantages of Supervised Pre-training

Disadvantages of Supervised Pre-training

Example of a Supervised Pre-training Task

A startup is building a system to automatically categorize legal contracts into specific sub-types (e.g., 'lease agreement', 'employment contract', 'non-disclosure agreement'). They have a very small, private dataset of 500 labeled contracts. Their proposed strategy is to first train a large neural network on a massive, publicly available dataset of millions of labeled news articles, classifying them by topic (e.g., 'sports', 'politics', 'technology'). After this initial training, they plan to a

A machine learning engineer wants to use a supervised pre-training approach to build a model that can detect toxic comments online. Arrange the following steps in the correct chronological order to reflect this process.

Evaluating a Pre-training Strategy for Scientific Text

Assumption of Supervised Pre-training