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Shell 2.92% JavaScript 0.98% Ruby 0.01% C++ 57.55% Python 12.46% Perl 10.14% C 13.42% ActionScript 0.01% PHP 0.83% Emacs Lisp 0.10% Java 0.06% OCaml 0.01% Lua 0.03% Smalltalk 1.27% Assembly 0.07% Forth 0.01% Logos 0.02% Slash 0.01% CSS 0.14% nesC 0.01%

bnmtgec_nhty's Introduction

来自 https://github.com/bert-nmt/bert-nmt
主体为fairseq
首先得到了bpe分词版本及为bert准备的未分词版本——存于oridata
然后使用myprocess命令
然后使用mytrain中的命令:把warmup去掉。。我们不用nmt的参数
然后就可以训练了
主要更改在:myprecess.sh, mytrain.sh, mygenerate.sh 和 m2scrore/scripts/m2scrore.py, pkunlp/reform.py 中的路径变量设置

ps: 一些大文件没有上传,具体见.gitignore

更改modeling,使之可以运行finetune的bert

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