Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

Overview

MT5_paddle

Use PaddlePaddle to reproduce the paper:mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

English | 简体中文

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

Abstract: The recent “Text-to-Text Transfer Transformer” (T5) leveraged a unified text-to-text format and scale to attain state-of-the-art results on a wide variety of English-language NLP tasks. In this paper, we introduce mT5, a multilingual variant of T5 that was pre-trained on a new Common Crawl-based dataset covering 101 languages. We detail the design and modified training of mT5 and demonstrate its state-of-the-art performance on many multilingual benchmarks. We also describe a simple technique to prevent “accidental translation” in the zero-shot setting, where a generative model chooses to (partially) translate its prediction into the wrong language. All of the code and model checkpoints used in this work are publicly available.

This project is an open source implementation of MT5 on Paddle 2.x.

Environment Installation

label value
python >=3.6
GPU V100
Frame PaddlePaddle2.1.2
Cuda 10.1
Cudnn 7.6

Cloud platform used in this recurrence:https://aistudio.baidu.com/

# Clone the repository
git clone https://github.com/27182812/MT5_paddle
# Enter the root directory
cd MT5_paddle
# Install the necessary python libraries locally
pip install -r requirements.txt

"test.ipynb" has run results display.

Quick Start

(一)Tokenizer Accuracy Alignment

### 对齐tokenizer
text = "Welcome to use paddle and paddlenlp!"
torch_tokenizer = PTT5Tokenizer.from_pretrained("./mt5-large")
paddle_tokenizer = PDT5Tokenizer.from_pretrained("./mt5-large")
torch_inputs = torch_tokenizer(text)
paddle_inputs = paddle_tokenizer(text)
print(torch_inputs)
print(paddle_inputs)

(二)Model Accuracy Alignment

run python compare.py,Comparing the accuracy between huggingface and paddle.

python compare.py
# MT5-large-pytorch vs paddle MT5-large-paddle
mean difference: tensor(2.0390e-06)
max difference: tensor(0.0004)

(三)Weights Transform

run python convert.py,transform weights of huggingface model to weights of paddle model. The weight path needs to be replaced

(四)Downstream task fine-tuning

run python train.py. "args.py" is for parameter.

Reference

大佬的T5代码:https://github.com/JunnYu/paddle_t5

@unknown{unknown,
author = {Xue, Linting and Constant, Noah and Roberts, Adam and Kale, Mihir and Al-Rfou, Rami and Siddhant, Aditya and Barua, Aditya and Raffel, Colin},
year = {2020},
month = {10},
pages = {},
title = {mT5: A massively multilingual pre-trained text-to-text transformer}
}
ConvBERT: Improving BERT with Span-based Dynamic Convolution

ConvBERT Introduction In this repo, we introduce a new architecture ConvBERT for pre-training based language model. The code is tested on a V100 GPU.

YITUTech 237 Dec 10, 2022
Implementing SimCSE(paper, official repository) using TensorFlow 2 and KR-BERT.

KR-BERT-SimCSE Implementing SimCSE(paper, official repository) using TensorFlow 2 and KR-BERT. Training Unsupervised python train_unsupervised.py --mi

Jeong Ukjae 27 Dec 12, 2022
Constituency Tree Labeling Tool

Constituency Tree Labeling Tool The purpose of this package is to solve the constituency tree labeling problem. Look from the dataset labeled by NLTK,

张宇 6 Dec 20, 2022
Flaxformer: transformer architectures in JAX/Flax

Flaxformer: transformer architectures in JAX/Flax Flaxformer is a transformer library for primarily NLP and multimodal research at Google. It is used

Google 114 Dec 29, 2022
DeepAmandine is an artificial intelligence that allows you to talk to it for hours, you won't know the difference.

DeepAmandine This is an artificial intelligence based on GPT-3 that you can chat with, it is very nice and makes a lot of jokes. We wish you a good ex

BuyWithCrypto 3 Apr 19, 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
A Word Level Transformer layer based on PyTorch and 🤗 Transformers.

Transformer Embedder A Word Level Transformer layer based on PyTorch and 🤗 Transformers. How to use Install the library from PyPI: pip install transf

Riccardo Orlando 27 Nov 20, 2022
Différents programmes créant une interface graphique a l'aide de Tkinter pour simplifier la vie des étudiants.

GP211-Grand-Projet Ce repertoire contient tout les programmes nécessaires au bon fonctionnement de notre projet-logiciel. Cette interface graphique es

1 Dec 21, 2021
code for modular summarization work published in ACL2021 by Krishna et al

This repository contains the code for running modular summarization pipelines as described in the publication Krishna K, Khosla K, Bigham J, Lipton ZC

Kundan Krishna 6 Jun 04, 2021
The guide to tackle with the Text Summarization

The guide to tackle with the Text Summarization

Takahiro Kubo 1.2k Dec 30, 2022
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .

Simple bots or Simbots is a library designed to create simple chat bots using the power of python. This library utilises Intent, Entity, Relation and

14 Dec 15, 2021
Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies

PyStanfordDependencies Python interface for converting Penn Treebank trees to Universal Dependencies and Stanford Dependencies. Example usage Start by

David McClosky 64 May 08, 2022
Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written form.

Neural G2P to portuguese language Grapheme-to-phoneme (G2P) conversion is the process of generating pronunciation for words based on their written for

fluz 11 Nov 16, 2022
An open source library for deep learning end-to-end dialog systems and chatbots.

DeepPavlov is an open-source conversational AI library built on TensorFlow, Keras and PyTorch. DeepPavlov is designed for development of production re

Neural Networks and Deep Learning lab, MIPT 6k Dec 30, 2022
this repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here

uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain

1 Nov 02, 2021
RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

Stefan Dumitrescu 9 Nov 07, 2022
Azure Text-to-speech service for Home Assistant

Azure Text-to-speech service for Home Assistant The Azure text-to-speech platform uses online Azure Text-to-Speech cognitive service to read a text wi

Yassine Selmi 2 Aug 06, 2022
Translates basic English sentences into the Huna language (hoo-NAH)

huna-translator The Huna Language Translates basic English sentences into the Huna language (hoo-NAH). The Huna constructed language was developed in

Miles Smith 0 Jan 20, 2022
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"

A sample Python project A sample project that exists as an aid to the Python Packaging User Guide's Tutorial on Packaging and Distributing Projects. T

Python Packaging Authority 4.5k Dec 30, 2022
Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.

flashgeotext ⚡ 🌍 Extract and count countries and cities (+their synonyms) from text, like GeoText on steroids using FlashText, a Aho-Corasick impleme

Ben 57 Dec 16, 2022