Code for CPM-2 Pre-Train

Related tags

Deep LearningCPM-2
Overview

CPM-2 Pre-Train

Pre-train CPM-2 此分支为110亿非 MoE 模型的预训练代码，MoE 模型的预训练代码请切换到 moe 分支

CPM-2技术报告请参考link。

0 模型下载

请在智源资源下载页面进行申请，文件介绍如下：

文件名 描述 参数大小
100000.tar 纯中文模型 110亿
36000.tar 中英文双语模型 110亿
300000.tar 中英文MoE模型 1980亿

1 安装

可以直接拉取我们提供的 Docker 环境：

docker pull gyxthu17/cpm-2:1.0

2 数据

scripts/gen_data.sh 中给出了生成数据文件的脚本示例。该脚本将一个多行的纯文本文件（一个 document 一行）转化为二进制文件（会输出三个 .bin 和三个 .idx 文件），方便模型读取。

3 训练

首先需要将 WORKING_DIR 变量换成 CPM-2 目录的所在路径。调整 NUM_WORKERS 和 NUM_GPUS_PER_WORKER 指定机器数量与每台机器的 GPU 设备数量。修改 ${WORKING_DIR}/src/configs/host_files/hostfile-cpm2 文件将其中的主机名称替换成每台机器的 IP 地址或者和 IP 地址相关联的主机名称。

运行命令：

cd src
bash scripts/pretrain_enc_dec.sh

4 引用

如果您使用了我们的代码，请您引用下面的文章。

@article{cpm-v2,
  title={CPM-2: Large-scale Cost-efficient Pre-trained Language Models},
  author={Zhang, Zhengyan and Gu, Yuxian and Han, Xu and Chen, Shengqi and Xiao, Chaojun and Sun, Zhenbo and Yao, Yuan and Qi, Fanchao and Guan, Jian and Ke, Pei and Cai, Yanzheng and Zeng, Guoyang and Tan, Zhixing and Liu, Zhiyuan and Huang, Minlie and Han, Wentao and Liu, Yang and Zhu, Xiaoyan and Sun, Maosong},
  year={2021}
}
Owner
Tsinghua AI
Tsinghua AI
GitHub Repository
PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Study-CSRNet-pytorch This is the PyTorch version repo for CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

0 Mar 01, 2022
Soft actor-critic is a deep reinforcement learning framework for training maximum entropy policies in continuous domains.

This repository is no longer maintained. Please use our new Softlearning package instead. Soft Actor-Critic Soft actor-critic is a deep reinforcement

Tuomas Haarnoja 752 Jan 07, 2023
CNNs for Sentence Classification in PyTorch

Introduction This is the implementation of Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch. Kim's implementation of t

Shawn Ng 956 Dec 19, 2022
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design

Peter Schaldenbrand 247 Dec 23, 2022
EfficientNetV2-with-TPU - Cifar-10 case study

EfficientNetV2-with-TPU EfficientNet EfficientNetV2 adalah jenis jaringan saraf convolutional yang memiliki kecepatan pelatihan lebih cepat dan efisie

Sultan syach 1 Dec 28, 2021
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

What's New Below we share, in reverse chronological order, the updates and new releases in VISSL. All VISSL releases are available here. [Oct 2021]: V

Meta Research 2.9k Jan 07, 2023
Training a deep learning model on the noisy CIFAR dataset

Training-a-deep-learning-model-on-the-noisy-CIFAR-dataset This repository contai

1 Jun 14, 2022
Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral

Improving Contrastive Learning by Visualizing Feature Transformation This project hosts the codes, models and visualization tools for the paper: Impro

Bingchen Zhao 83 Dec 15, 2022
Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning"

CAPGNN Source code and dataset of the paper "Contrastive Adaptive Propagation Graph Neural Networks forEfficient Graph Learning" Paper URL: https://ar

1 Mar 12, 2022
[Preprint] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang

Chasing Sparsity in Vision Transformers: An End-to-End Exploration Codes for [Preprint] Chasing Sparsity in Vision Transformers: An End-to-End Explora

VITA 64 Dec 08, 2022
Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations.

S2VC Here is the implementation of our paper S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations. In thi

81 Dec 15, 2022
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs

ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs This is the code of paper ConE: Cone Embeddings for Multi-Hop Reasoning over Knowl

MIRA Lab 33 Dec 07, 2022
OpenMMLab Computer Vision Foundation

English | 简体中文 Introduction MMCV is a foundational library for computer vision research and supports many research projects as below: MMCV: OpenMMLab

OpenMMLab 4.6k Jan 09, 2023
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network

Leaded Gradient Method (LGM) This repository contains the PyTorch implementation for paper Dynamics-aware Adversarial Attack of 3D Sparse Convolution

An Tao 2 Oct 18, 2022
scikit-learn: machine learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started

scikit-learn 52.5k Jan 08, 2023
git《Investigating Loss Functions for Extreme Super-Resolution》(CVPR 2020) GitHub:

Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon

Sejong Yang 0 Oct 17, 2022
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

PENet: Precise and Efficient Depth Completion This repo is the PyTorch implementation of our paper to appear in ICRA2021 on "Towards Precise and Effic

232 Dec 25, 2022
Toward Spatially Unbiased Generative Models (ICCV 2021)

Toward Spatially Unbiased Generative Models Implementation of Toward Spatially Unbiased Generative Models (ICCV 2021) Overview Recent image generation

Jooyoung Choi 88 Dec 01, 2022
pytorch implementation of GPV-Pose

GPV-Pose Pytorch implementation of GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. (link) UPDATE A new version

40 Dec 01, 2022
MonoScene: Monocular 3D Semantic Scene Completion

MonoScene: Monocular 3D Semantic Scene Completion MonoScene: Monocular 3D Semantic Scene Completion] [arXiv + supp] | [Project page] Anh-Quan Cao, Rao

298 Jan 08, 2023