Fine-Tuned Model Dataset Preparation
To effectively fine-tune our model, we need to prepare the training data in a specific format. In this section, we will walk you through the process of data preparation using a JSON file and the OpenAI CLI data preparations tool.
When preparing data for a fine-tuned model such as OpenAI’s, it’s essential to follow a structured process to ensure optimal performance and accurate results. The first step is to gather the relevant data that will be used to train the model. This data can come from a variety of sources, such as books, articles, or even specialized datasets.
To begin, create a new folder called Fine_Tune_Data on your desktop, and inside the folder, create a new file called train_data.json. For our book summary fine-tuned model, we will use one-sentence summaries for 30 different books. Those summaries will be written inside the file we just created in a JSON format:
[
{"prompt": "Book Summary: The Adventure...
