PyTorch reimplementation of REALM and ORQA

Overview

PyTorch Reimplementation of REALM and ORQA

This is PyTorch reimplementation of REALM (paper, codebase) and ORQA (paper, codebase).

Some features have not been implemented yet, currently the predictor and finetuning script are available.

The term retriever and searcher in the code are basically interchangeable, their difference is that retriever is for REALM pretraining, and searcher is for ORQA finetuning.

Prerequisite

cd transformers && pip install -U -e ".[dev]"
pip install -U scann, apache_beam

Data

To download pretrained checkpoints and preprocessed data, please follow the instructions below:

cd data
pip install -U -r requirements.txt
sh download.sh

Finetune (Experimental)

The default finetuning dataset is Natural Question(NQ). To laod your custom dataset, please change the loading function in data.py.

Training:

python run_finetune.py --is_train \
    --model_dir "./" \
    --num_epochs 2 \
    --device cuda

Evaluation:

python run_finetune.py \
    --retriever_pretrained_name "retriever" \
    --checkpoint_pretrained_name "reader" \
    --model_dir "./" \
    --device cuda

Predict

The default checkpoints of retriever and reader are orqa_nq_model_from_realm. To change them, kindly specify --retriever_path and --checkpoint_path.

python predictor.py --question "Who is the pioneer in modern computer science?"

Output: alan mathison turing

License

Apache License 2.0

Owner
Li-Huai (Allan) Lin
DL & NLP Enthusiast
Li-Huai (Allan) Lin
Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent

Narya The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository

Paul Garnier 121 Dec 30, 2022
Activating More Pixels in Image Super-Resolution Transformer

HAT [Paper Link] Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen, Xintao Wang, Jiantao Zhou and Chao Dong BibTeX @article{ch

XyChen 270 Dec 27, 2022
The official repository for BaMBNet

BaMBNet-Pytorch Paper

Junjun Jiang 18 Dec 04, 2022
Code for the Convolutional Vision Transformer (ConViT)

ConViT : Vision Transformers with Convolutional Inductive Biases This repository contains PyTorch code for ConViT. It builds on code from the Data-Eff

Facebook Research 418 Jan 06, 2023
A small library for creating and manipulating custom JAX Pytree classes

Treeo A small library for creating and manipulating custom JAX Pytree classes Light-weight: has no dependencies other than jax. Compatible: Treeo Tree

Cristian Garcia 58 Nov 23, 2022
COCO Style Dataset Generator GUI

A simple GUI-based COCO-style JSON Polygon masks' annotation tool to facilitate quick and efficient crowd-sourced generation of annotation masks and bounding boxes. Optionally, one could choose to us

Hans Krupakar 142 Dec 09, 2022
AutoVideo: An Automated Video Action Recognition System

AutoVideo is a system for automated video analysis. It is developed based on D3M infrastructure, which describes machine learning with generic pipeline languages. Currently, it focuses on video actio

Data Analytics Lab at Texas A&M University 267 Dec 17, 2022
Artifacts for paper "MMO: Meta Multi-Objectivization for Software Configuration Tuning"

MMO: Meta Multi-Objectivization for Software Configuration Tuning This repository contains the data and code for the following paper that is currently

0 Nov 17, 2021
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

English | 简体中文 Latest News 2021.10.25 Paper "Docking-based Virtual Screening with Multi-Task Learning" is accepted by BIBM 2021. 2021.07.29 PaddleHeli

633 Jan 04, 2023
A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥

Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re

Hyunsoo Cho 1 Dec 20, 2021
[TNNLS 2021] The official code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"

CSDNet-CSDGAN this is the code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement" Environment Preparing pyt

Jiaao Zhang 17 Nov 05, 2022
Official PyTorch implementation of Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval.

Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval PyTorch This is the PyTorch implementation of Retrieve in Style: Unsupervised Fa

60 Oct 12, 2022
3 Apr 20, 2022
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations

Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations This repo contains official code for the NeurIPS 2021 paper Imi

Jiayao Zhang 2 Oct 18, 2021
Official implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR2021)

Rethinking Graph Neural Architecture Search from Message-passing Intro The GNAS can automatically learn better architecture with the optimal depth of

Shaofei Cai 48 Sep 30, 2022
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).

LegoNet This code is the implementation of ICML2019 paper LegoNet: Efficient Convolutional Neural Networks with Lego Filters Run python train.py You c

YangZhaohui 140 Sep 26, 2022
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

RODD Official Implementation of 2022 CVPRW Paper RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection Introduction: Recent studie

Umar Khalid 17 Oct 11, 2022
【CVPR 2021, Variational Inference Framework, PyTorch】 From Rain Generation to Rain Removal

From Rain Generation to Rain Removal (CVPR2021) Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, and Deyu Meng [PDF&&Supplementary Material]

Hong Wang 48 Nov 23, 2022
An end-to-end implementation of intent prediction with Metaflow and other cool tools

You Don't Need a Bigger Boat An end-to-end (Metaflow-based) implementation of an intent prediction flow for kids who can't MLOps good and wanna learn

Jacopo Tagliabue 614 Dec 31, 2022
Combinatorially Hard Games where the levels are procedurally generated

puzzlegen Implementation of two procedurally simulated environments with gym interfaces. IceSlider: the agent needs to reach and stop on the pink squa

Autonomous Learning Group 3 Jun 26, 2022