Code for CPM-2 Pre-Train

Last update: Dec 28, 2022

Related tags

Deep Learning CPM-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}
}

Code for CPM-2 Pre-Train

Related tags

Overview

CPM-2 Pre-Train

0 模型下载

1 安装

2 数据

3 训练

4 引用

Owner

Tsinghua AI

Fully convolutional networks for semantic segmentation

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Locally Differentially Private Distributed Deep Learning via Knowledge Distillation (LDP-DL)

Multiview Dataset Toolkit

Lane assist for ETS2, built with the ultra-fast-lane-detection model.

Convolutional neural network web app trained to track our infant’s sleep schedule using our Google Nest camera.

Tensorflow implementation of ID-Unet: Iterative Soft and Hard Deformation for View Synthesis.

This repository is an implementation of paper : Improving the Training of Graph Neural Networks with Consistency Regularization

Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021

(Py)TOD: Tensor-based Outlier Detection, A General GPU-Accelerated Framework

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

cisip-FIRe - Fast Image Retrieval

Main Results on ImageNet with Pretrained Models

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

This is the open-source reference implementation of the SIGGRAPH 2021 paper Intersection-free Rigid Body Dynamics.

Python scripts form performing stereo depth estimation using the HITNET model in Tensorflow Lite.

PyTorch implementation of MoCo: Momentum Contrast for Unsupervised Visual Representation Learning

Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"

This is the source code for our ICLR2021 paper: Adaptive Universal Generalized PageRank Graph Neural Network.

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries