Skip to content

Hongkyu-Lee/direct_token_optimization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Direct Token Optimization (DTO)

Overview

This repository provides implementation and some experimental results of Direct Token Optimization. The repository suppports unlearning TOFU dataset and MUSE-HP dataset. To evaluate, please refer to MUSE Benchmark and open-unlearning.

Configurations

Configuration files are located in the configs/ directory and can be customized for different experiments.

Data

  • Tofu dataset is available in Huggingface.
  • For MUSE harry potter dataset, download the harry potter dataset from MUSE-Benchmark

Requirements

The project requires Python 3.10+ with dependencies listed in requirements.txt, including PyTorch, Transformers, Hydra, and other ML libraries.

Usage

We provide an example script to run. Please refer to run_forget01.sh.

Results

Under the results folder, we provide an evaluation result from TOFU benchmark.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors