Hands-on: RLHF using PPO
To better understand how RLHF helps to achieve better alignment to prompts, we will set up a toy use-case using the trl library from Hugging Face.
Transformer Reinforcement Learning, or trl, provides easy-to-use interfaces for SFT and reward modeling, as well as a number of training algorithms, including PPO and KPTO. Check out more details in Ref 15.
Problem statement
The IMDb website is an amazing platform for getting movie reviews. The website enables reviewers/members to share their reviews about any movies in the form of free text. The IMDb dataset5 is a collection of thousands of such reviews, along with their sentiments.
Our task is to train a language model to generate movie reviews that are positive in nature.
Dataset preparation
The dataset preparation for this stage is pretty straightforward. We will use the Datasets library from Hugging Face to load the IMDb dataset. We will filter the reviews to be within a...
