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finetuning-llm's Introduction

Finetuning LLM

This repository contains the code for finetuning a language model on a custom dataset. The code is based on the LLM-Workshop and I trained with huggingface, Unsloth with config deepspeed, fsdp. I will take notes some technique about them if I have time .

Firstly, you need to install the requirements:

Installation

pip install -r requirements.txt

Data

You can use dataset from huggingface on your custom dataset. You can see prepare_dataset.py for more detail what I prepare dataset with format json.

Fine-tuning

CUDA_VISIBLE_DEVICES=0,1
torchrun ----nproc-per-node=2 train_unsloth_lora_1.py 

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