# SOME DESCRIPTIVE TITLE. # Copyright (C) 2023, InternLM Team # This file is distributed under the same license as the InternLM package. # FIRST AUTHOR , 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 \n" "Language: en\n" "Language-Team: en \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/30B_demo.rst:2 242d1f89ae2045f1bf1f31bf82f07846 msgid "30B Demo" msgstr "" #: ../../source/example/30B_demo.rst:5 c2415bfa6978414a939dcc395fdfb544 msgid "训练配置" msgstr "Training Config" #: ../../source/example/30B_demo.rst:7 75f568d1ca5546228f88958c12c2dd65 msgid "30B demo 训练配置文件样例如下:" msgstr "30B demo config file example:" #: ../../source/example/30B_demo.rst:164 533cb04f94314eeb8381e45f06d03108 msgid "启动训练" msgstr "Start Training" #: ../../source/example/30B_demo.rst:166 24974384d5ab42e68266aeb67ae222ce 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,启动两节点 16GPU 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 16 GPUs." #: ../../source/example/30B_demo.rst:173 948ac71ed53848f9bad07f69d956c4bb msgid "训练结果" msgstr "Training Results" #: ../../source/example/30B_demo.rst:175 615a3481b0aa49729b7219b1365519aa msgid "基于以上训练配置和启动命令,两节点 16GPU 下的模型训练部分日志展示如下:" msgstr "Taking the configuration of the demo training on two nodes with 16 GPUs on slurm as an example, the training result log is shown below:"