LLaMA-ABSA

Introduction

This repository contains the code for the paper "LLaMA-Based Models for Aspect-Based Sentiment Analysis".

Requirements

• Python 3.10
• Required packages are listed in requirements.txt

Datasets

• Data is available in the data_sota folder.

Running the code

• To run the code for instruction tuning, execute the following command:

python main.py --model microsoft/Orca-2-13b --data_path tasd/rest16 --instruction_tuning --no_wandb

• For few-shot scenario, execute the following command:

python main.py --model microsoft/Orca-2-13b --data_path tasd/rest16 --few_shot_prompt --no_wandb

• For zero-shot scenario, execute the following command:

python main.py --model microsoft/Orca-2-13b --data_path tasd/rest16 --no_wandb

• Model can be changed by changing the --model argument.
• Dataset can be changed by changing the --data_path argument.
• For more details, refer to the main.py and src/args_utils.py files.