A Gentle Introduction to Language Model Fine-tuning
This article is divided into four parts; they are: • The Reason for Fine-tuning a Model • Dataset for Fine-tuning • Fine-tuning Procedure • Other Fine-Tuning Techniques Once you train your decoder-only transformer model, you have a text generator.
After pretraining, a language model learns about human languages. You can enhance the model’s domain-specific understanding by training it on additional data. You can also train the model to perform specific tasks when you provide a specific instruction. These additional training after pretraining is called fine-tuning. In this article, you will learn how to fine-tune a language model. Specifically, you will learn:
- Different examples of fine-tuning and what their goals are
- How to convert a pretraining script to perform fine-tuning
Let’s get started!
This article is divided into four parts; they are:
• The Reason for Fine-tuning a Model
• Dataset for Fine-tuning
• Fine-tuning Procedure
• Other Fine-Tuning Techniques
