An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model

Overview

pl_prompt_sst

An example project using OpenPrompt under the framework of pytorch-lightning for a training prompt-based text classification model on SST2 sentiment analysis dataset. Leveraging the pytorch-lightning features like logging, gradient accumulation and early stopping, etc. Can be used as a template for further development.

Run

Install requirement

pip install -r requirements.txt

Setup the prompt to use in sst2/prompt_config.json

{
    "template_text": "{\"placeholder\": \"text_a\"} In summary, the film was {\"mask\"}.",
    "label_words": [["bad"], ["good"]]
}

Adjust the arguments in run.sh or the code below for your need, and run it.

CUDA_VISIBLE_DEVICES=0 python -u main.py --input_dir ./sst2 \
                                         --prompt_config_dir ./sst2/prompt_config.json \
                                         --model_class bert \
                                         --model_name_or_path prajjwal1/bert-tiny \
                                         --lr 2e-4
                                         --bs 32 \
                                         --max_seq_length 64 \
                                         --patience 4 \
                                         --accumulation 2 \
                                         --seed 666

In my preliminary experiment with the settings above, the model achieve 0.822 F1 compared to 0.820 without prompt.

Note

Can only be executed after this fix on state_dict()

Owner
Zhiling Zhang
Zhiling Zhang
Words_And_Phrases - Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours

Words_And_Phrases Just a repo for useful words and phrases that might come handy in some scenarios. Feel free to add yours Abbreviations Abbreviation

Subhadeep Mandal 1 Feb 01, 2022
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

GAN stability This repository contains the experiments in the supplementary material for the paper Which Training Methods for GANs do actually Converg

Lars Mescheder 884 Nov 11, 2022
WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.

Google Research Datasets 740 Dec 24, 2022
πŸ“œ GPT-2 Rhyming Limerick and Haiku models using data augmentation

Well-formed Limericks and Haikus with GPT2 πŸ“œ GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &

Bardia Shahrestani 2 May 26, 2022
Train πŸ€—-transformers model with Poutyne.

poutyne-transformers Train πŸ€— -transformers models with Poutyne. Installation pip install poutyne-transformers Example import torch from transformers

Lennart Keller 2 Dec 18, 2022
Summarization module based on KoBART

KoBART-summarization Install KoBART pip install git+https://github.com/SKT-AI/KoBART#egg=kobart Requirements pytorch==1.7.0 transformers==4.0.0 pytor

seujung hwan, Jung 148 Dec 28, 2022
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CrossNER is a fully-labeled collected of named entity recognition (NER) data spanning over five diverse domains (Politics, Natural Science, Music, Literature, and Artificial Intelligence) with specia

Zihan Liu 89 Nov 10, 2022
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.

Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da

Jeff Johannsen 3 Nov 27, 2022
This is the writeup of all the challenges from Advent-of-cyber-2019 of TryHackMe

Advent-of-cyber-2019-writeup This is the writeup of all the challenges from Advent-of-cyber-2019 of TryHackMe https://tryhackme.com/shivam007/badges/c

shivam danawale 5 Jul 17, 2022
Automatically search Stack Overflow for the command you want to run

stackshell Automatically search Stack Overflow (and other Stack Exchange sites) for the command you want to ru Use the up and down arrows to change be

circuit10 22 Oct 27, 2021
Grover is a model for Neural Fake News -- both generation and detectio

Grover is a model for Neural Fake News -- both generation and detection. However, it probably can also be used for other generation tasks.

Rowan Zellers 856 Dec 24, 2022
πŸš€Clone a voice in 5 seconds to generate arbitrary speech in real-time

English | δΈ­ζ–‡ Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?

Vega 25.6k Dec 31, 2022
Simple and efficient RevNet-Library with DeepSpeed support

RevLib Simple and efficient RevNet-Library with DeepSpeed support Features Half the constant memory usage and faster than RevNet libraries Less memory

Lucas Nestler 112 Dec 05, 2022
sangha, pronounced "suhng-guh", is a social networking, booking platform where students and teachers can share their practice.

Flask React Project This is the backend for the Flask React project. Getting started Clone this repository (only this branch) git clone https://github

Courtney Newcomer 17 Sep 29, 2021
πŸ‘„ The most accurate natural language detection library for Python, suitable for long and short text alike

1. What does this library do? Its task is simple: It tells you which language some provided textual data is written in. This is very useful as a prepr

Peter M. Stahl 334 Dec 30, 2022
Suite of 500 procedurally-generated NLP tasks to study language model adaptability

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

Belinda Li 20 May 17, 2022
Python package for performing Entity and Text Matching using Deep Learning.

DeepMatcher DeepMatcher is a Python package for performing entity and text matching using deep learning. It provides built-in neural networks and util

461 Dec 28, 2022
Code of paper: A Recurrent Vision-and-Language BERT for Navigation

Recurrent VLN-BERT Code of the Recurrent-VLN-BERT paper: A Recurrent Vision-and-Language BERT for Navigation Yicong Hong, Qi Wu, Yuankai Qi, Cristian

YicongHong 109 Dec 21, 2022
An IVR Chatbot which can exponentially reduce the burden of companies as well as can improve the consumer/end user experience.

IVR-Chatbot Achievements πŸ† Team Uhtred won the Maverick 2.0 Bot-a-thon 2021 organized by AbInbev India. ❓ Problem Statement As we all know that, lot

ARYAMAAN PANDEY 9 Dec 08, 2022
Korean Simple Contrastive Learning of Sentence Embeddings using SKT KoBERT and kakaobrain KorNLU dataset

KoSimCSE Korean Simple Contrastive Learning of Sentence Embeddings implementation using pytorch SimCSE Installation git clone https://github.com/BM-K/

34 Nov 24, 2022