LLM Model Evaluation

Learn how to evaluate the performance of LLMs using the ROUGE metric.

We will cover the following

• Overview
• What is ROUGE?
• Types of ROUGE metrics
• Understanding ROUGE scores
• Evaluating LLMs with ROUGE

Overview

In the realm of natural language processing, evaluating the performance of LLMs is a critical aspect.

One of the key tools for this evaluation is the Recall-Oriented Understudy for Gisting Evaluation (ROUGE) metrics.

ROUGE is primarily used to assess the quality of text generated by LLMs.

LLMs like GPT-2 often engage in tasks like text completion or summarization.

The effectiveness of the generated texts can’t be effectively measured solely by human judgment due to scalability and consistency issues.