Fine-Tune FIGHT3 Models with Auto Train Easily

In this video by Mervin Praison, viewers are introduced to Auto Train, a user-friendly library that allows for the fine-tuning of large language models, specifically the FIGHT3 models released by Microsoft, with just one command. The tutorial covers both supervised fine-tuning and ORPO fine-tuning on Linux and Mac. Mervin demonstrates the entire process, from setting up the environment and exporting the Hugging Face token to executing the fine-tuning commands via the Command Line Interface (CLI) and User Interface (UI). The video also explains the differences between various fine-tuning methods like supervised fine-tuning, DPO, ORPO, and RLHF, and provides a step-by-step guide on how to save and deploy the fine-tuned models on Hugging Face. The tutorial is comprehensive and suitable for users looking to train, evaluate, and deploy machine learning models without writing any code.