mirror of https://github.com/InternLM/InternLM
50 lines
2.0 KiB
Plaintext
50 lines
2.0 KiB
Plaintext
# SOME DESCRIPTIVE TITLE.
|
|
# Copyright (C) 2023, InternLM Team
|
|
# This file is distributed under the same license as the InternLM package.
|
|
# FIRST AUTHOR <EMAIL@ADDRESS>, 2023.
|
|
#
|
|
msgid ""
|
|
msgstr ""
|
|
"Project-Id-Version: InternLM \n"
|
|
"Report-Msgid-Bugs-To: \n"
|
|
"POT-Creation-Date: 2023-09-07 10:56+0800\n"
|
|
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
|
|
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
|
|
"Language: en\n"
|
|
"Language-Team: en <LL@li.org>\n"
|
|
"Plural-Forms: nplurals=2; plural=(n != 1);\n"
|
|
"MIME-Version: 1.0\n"
|
|
"Content-Type: text/plain; charset=utf-8\n"
|
|
"Content-Transfer-Encoding: 8bit\n"
|
|
"Generated-By: Babel 2.12.1\n"
|
|
|
|
#: ../../source/example/7B_demo.rst:2 8576f969040249bb93e7c347ef210990
|
|
msgid "7B Demo"
|
|
msgstr ""
|
|
|
|
#: ../../source/example/7B_demo.rst:5 5429ceea12424825991744bece744f60
|
|
msgid "训练配置"
|
|
msgstr "Training Config"
|
|
|
|
#: ../../source/example/7B_demo.rst:7 c9a47faf5deb40b68ad2bc950fdf2b14
|
|
msgid "7B demo 的训练配置文件样例如下:"
|
|
msgstr "7B demo config file example:"
|
|
|
|
#: ../../source/example/7B_demo.rst:162 eb93a6ca05c8421eb87a2470f9f31fc2
|
|
msgid "启动训练"
|
|
msgstr "Start Training"
|
|
|
|
#: ../../source/example/7B_demo.rst:164 9e7a864ae2e14d05b0681f16792e5278
|
|
msgid "完成以上训练配置后,可启动模型训练,以在 ``slurm`` 平台上为例,启动单节点 8GPU 的训练命令如下所示:"
|
|
msgstr "After completing the data preparation and relevant training configurations, you can start the demo training. "
|
|
"The following example shows how to start distributed training in ``slurm`` environments with 8 GPUs."
|
|
|
|
#: ../../source/example/7B_demo.rst:171 fdd053efb1854d46aabf6c0f279fe7fc
|
|
msgid "训练结果"
|
|
msgstr "Training Results"
|
|
|
|
#: ../../source/example/7B_demo.rst:173 33ec81f34e3c4340beacdb5254069d08
|
|
msgid "基于以上训练配置和启动命令,单节点 8GPU 下的模型训练部分日志展示如下:"
|
|
msgstr "Taking the configuration of the demo training on a single machine with 8 GPUs on slurm as an example, the training result log is shown below:"
|
|
|