Styled Augmented Translation

Last update: Dec 29, 2022

Related tags

Overview

SAT

Style Augmented Translation

Introduction

By collecting high-quality data, we were able to train a model that outperforms Google Translate on 6 different domains of English-Vietnamese Translation.

English to Vietnamese Translation (BLEU score)

Vietnamese to English Translation (BLEU score)

Get data and model at Google Cloud Storage

Check out our demo web app

Visit our blog post for more details.

Using the code

This code is build on top of vietai/dab:

To prepare for training, generate tfrecords from raw text files:

python t2t_datagen.py \
--data_dir=$path_to_folder_contains_vocab_file \
--tmp_dir=$path_to_folder_that_contains_training_data \
--problem=$problem

To train a Transformer model on the generated tfrecords

python t2t_trainer.py \
--data_dir=$path_to_folder_contains_vocab_file_and_tf_records \
--problem=$problem \
--hparams_set=$hparams_set \
--model=transformer \
--output_dir=$path_to_folder_to_save_checkpoints

To run inference on the trained model:

python t2t_decoder.py \
--data_dir=$path_to_folde_contains_vocab_file_and_tf_records \
--problem=$problem \
--hparams_set=$hparams_set \
--model=transformer \
--output_dir=$path_to_folder_contains_checkpoints

In this colab, we demonstrated how to run these three phases in the context of hosting data/model on Google Cloud Storage.

Dataset

Our data contains roughly 3.3 million pairs of texts. After augmentation, the data is of size 26.7 million pairs of texts. A more detail breakdown of our data is shown in the table below.

	Pure	Augmented
Fictional Books	333,189	2,516,787
Legal Document	1,150,266	3,450,801
Medical Publication	5,861	27,588
Movies Subtitles	250,000	3,698,046
Software	79,912	239,745
TED Talk	352,652	4,983,294
Wikipedia	645,326	1,935,981
News	18,449	139,341
Religious texts	124,389	1,182,726
Educational content	397,008	8,475,342
No tag	5,517	66,299
Total	3,362,569	26,715,950

Data sources is described in more details here.

Comments

Data leakage issue in evaluation?

Hi team @lmthang @thtrieu @heraclex12 @hqphat @KienHuynh

The obtained results of a Transformer-based model on the PhoMT test set surprised me. My first thought was that as VietAI and PhoMT datasets have several overlapping domains (e.g. Wikihow, TED talks, Opensubtitles, news..): whether there might be a potential data leakage issue in your evaluation (e.g. PhoMT English-Vietnamese test pairs appear in the VietAI training set)?

In particular, we find that 6294/19151 PhoMT English-Vietnamese test pairs appear in the VietAI training set (v2). When evaluating your model on the PhoMT test set, did you guys retrain the model on a VietAI training set variant that does not contain PhoMT English-Vietnamese test pairs?

Cheers, Dat.

opened by datquocnguyen 3

Demo website is not working

Hi, seems like the easiest to reach out here but https://demo.vietai.org/ is down, looks like the page tried to serve a 404 error page.

Connection failed with status 404, and response "<!DOCTYPE html> <html lang=en> <meta charset=utf-8> <meta name=viewport content="initial-scale=1, minimum-scale=1, width=device-width"> <title>Error 404 (Not Found)!!1</title> <style> *{margin:0;padding:0}html,code{font:15px/22px arial,sans-serif}html{background:#fff;color:#222;padding:15px}body{margin:7% auto 0;max-width:390px;min-height:180px;padding:30px 0 15px}* > body{background:url(//www.google.com/images/errors/robot.png) 100% 5px no-repeat;padding-right:205px}p{margin:11px 0 22px;overflow:hidden}ins{color:#777;text-decoration:none}a img{border:0}@media screen and (max-width:772px){body{background:none;margin-top:0;max-width:none;padding-right:0}}#logo{background:url(//www.google.com/images/branding/googlelogo/1x/googlelogo_color_150x54dp.png) no-repeat;margin-left:-5px}@media only screen and (min-resolution:192dpi){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat 0% 0%/100% 100%;-moz-border-image:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) 0}}@media only screen and (-webkit-min-device-pixel-ratio:2){#logo{background:url(//www.google.com/images/branding/googlelogo/2x/googlelogo_color_150x54dp.png) no-repeat;-webkit-background-size:100% 100%}}#logo{display:inline-block;height:54px;width:150px} </style> <a href=//www.google.com/><span id=logo aria-label=Google></span></a> <p><b>404.</b> <ins>That’s an error.</ins> <p>The requested URL <code>/healthz</code> was not found on this server. <ins>That’s all we know.</ins> ".

opened by VietThan 1

Got RuntimeError when run on Google Colab

I ran the Readme.md samples on Google Colab with GPU and got this Error "RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select)".

Error code: outputs = model.generate(tokenizer(inputs, return_tensors="pt", padding=True).input_ids.to('cuda'), max_length=512)

opened by kietbg0079 0
Got error 'AssertionError: Torch not compiled with CUDA enabled' on Macbook M1 pro

I have tried the example on my Macbook M1 pro but got this error: =>outputs = model.generate(tokenizer(inputs, return_tensors="pt", padding=True).input_ids.to('cuda'), max_length=512) raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled

Please help!

opened by htnha 4
Question about loading model

I have a question about loading model. I have trained a Russian-to-Vietnamese model base on your code and tensor2tensor. Every time I want to predict a new sentence, it always load the model again, even before that I have already predicted another sentence. I want to ask that if there is a way not to have reload the model when predict a new sentence. Thank you very much

opened by hieunguyenquoc 1
I have a issue about running decoder

Data loss: Unable to open table file /content/drive/MyDrive/SAT/checkpoint: Failed precondition: /content/drive/MyDrive/SAT/checkpoint; Is a directory: perhaps your file is in a different file format and you need to use a different restore operator?

I used a pretrain model : model.augmented.envi.ckpt-1415000.data-00000-of-00001, model.augmented.envi.ckpt-1415000.index, model.augmented.envi.ckpt-1415000.meta. All 3 file are put in checkpoint

Could somebody help me with this issue ?

opened by hieunguyenquoc 6

Releases(v1.0)

v1.0(Oct 2, 2021)

First version.

Trained on 3.3M training data points. Transformer with 9-layer encoder and 9-layer decoder. Tested on a multi-domain dataset, outperforming Google Translate. Experiments with style-tagging and data appending.
Source code(tar.gz)
Source code(zip)

Owner

GitHub Repository

Code for Understanding Pooling in Graph Neural Networks

Select, Reduce, Connect This repository contains the code used for the experiments of: "Understanding Pooling in Graph Neural Networks" Setup Install

37 Dec 13, 2022

HyperaPy: An automatic hyperparameter optimization framework ⚡🚀

hyperpy HyperPy: An automatic hyperparameter optimization framework Description HyperPy: Library for automatic hyperparameter optimization. Build on t

7 Sep 06, 2022

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

LVI-SAM This repository contains code for a lidar-visual-inertial odometry and mapping system, which combines the advantages of LIO-SAM and Vins-Mono

1.1k Dec 27, 2022

Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).

SSAN Introduction This is the pytorch implementation of the SSAN model (see our AAAI2021 paper: Entity Structure Within and Throughout: Modeling Menti

69 Nov 15, 2022

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

GraspNet Baseline Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020). [paper] [dataset] [API] [do

209 Dec 29, 2022

Contains source code for the winning solution of the xView3 challenge

Winning Solution for xView3 Challenge This repository contains source code and pretrained models for my (Eugene Khvedchenya) solution to xView 3 Chall

51 Dec 30, 2022

Explainer for black box models that predict molecule properties

Explaining why that molecule exmol is a package to explain black-box predictions of molecules. The package uses model agnostic explanations to help us

172 Dec 19, 2022

Awesome-google-colab - Google Colaboratory Notebooks and Repositories

Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and revamp this repo (it gets around 30k views and 200k

1.2k Jan 03, 2023

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

224 Jan 04, 2023

🍷 Gracefully claim weekly free games and monthly content from Epic Store.

EPIC 免费人 🚀 优雅地领取 Epic 免费游戏 Introduction 👋 Epic AwesomeGamer 帮助玩家优雅地领取 Epic 免费游戏。使用「Epic免费人」可以实现如下需求： get：搬空游戏商店，获取所有常驻免费游戏与免费附加内容； claim：领取周免游戏及其免

571 Dec 28, 2022

Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation

FCN_MSCOCO_Food_Segmentation Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation Input data: [http://mscoco.org/dataset/#ove

11 Jan 08, 2019

Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection PyTorch code release of the paper "Attentive Prototypes for Sour

23 Oct 17, 2022

Styled Augmented Translation

Related tags

Overview

SAT

Style Augmented Translation

Introduction

Using the code

Dataset

Comments

Data leakage issue in evaluation?

Demo website is not working

Got RuntimeError when run on Google Colab

Got error 'AssertionError: Torch not compiled with CUDA enabled' on Macbook M1 pro

Question about loading model

I have a issue about running decoder

Releases(v1.0)

v1.0(Oct 2, 2021)

Owner

Code for Understanding Pooling in Graph Neural Networks

HyperaPy: An automatic hyperparameter optimization framework ⚡🚀

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Contains source code for the winning solution of the xView3 challenge

Explainer for black box models that predict molecule properties

Awesome-google-colab - Google Colaboratory Notebooks and Repositories

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

🍷 Gracefully claim weekly free games and monthly content from Epic Store.

Simple keras FCN Encoder/Decoder model for MS-COCO (food subset) segmentation

Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

A solution to the 2D Ising model of ferromagnetism, implemented using the Metropolis algorithm

Meta Learning Backpropagation And Improving It (VSML)

Official page of Struct-MDC (RA-L'22 with IROS'22 option); Depth completion from Visual-SLAM using point & line features

KGDet: Keypoint-Guided Fashion Detection (AAAI 2021)

Deep generative models of 3D grids for structure-based drug discovery

UltraGCN: An Ultra Simplification of Graph Convolutional Networks for Recommendation

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

Single-Shot Motion Completion with Transformer