From 4f40b43b0919b7a5f678f5d86e193e683867ec71 Mon Sep 17 00:00:00 2001 From: Wenwen Qu Date: Tue, 26 Sep 2023 16:57:47 +0800 Subject: [PATCH] Update mixed_precision.po --- doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po b/doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po index e53b3ad..33d6453 100644 --- a/doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po +++ b/doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po @@ -25,7 +25,7 @@ msgstr "Mixed Precision" #: ../../source/mixed_precision.rst:3 msgid "" -"混合精度是指在模型训练的过程中同时使用16位和32位浮点类型，是一种在最小化精度损失的前提下加速模型训练的方法。 " +"混合精度是指在模型训练的过程中同时使用16位和32位浮点数类型，是一种在最小化精度损失的前提下加速模型训练的方法。" "混合精度通过让模型的某些部分使用32位浮点数以保持数值稳定性，并在其余部分利用半精度浮点数加速训练并可以减少内存使用，在评估指标（如准确率）方面仍可以获得同等的训练效果。" msgstr "" "Mixed precision refers to using both 16-bit and 32-bit floating-point types to train model, which can accelerate the model training while minimizing the accuracy loss. " @@ -61,11 +61,11 @@ msgid "If True, the buffers are synchronized. Defaults to True." msgstr "" #: ../../source/mixed_precision.rst:8 -msgid "InternLM默认将模型转换为16位精度进行训练（在配置文件中可以设置默认类型为其他数据类型）。在使用混合精度时，需要在构建模型时使用" +msgid "InternLM默认将模型转换为16位浮点数类型进行训练（在配置文件中可以设置默认类型为其他数据类型）。在使用混合精度时，需要在构建模型时使用" msgstr "InternLM converts the model to 16-bit floating-point types for model training by default (the default type can be set to other data types in the configuration file). When using mixed precision, it is necessary to use " #: ../../source/mixed_precision.rst:14 -msgid "将模型的某个子模块设置为32精度进行训练，InternLM会在模型训练时自动将数据类型转换成需要的精度。" +msgid "将模型的某个子模块设置为32位浮点数类型进行训练，InternLM会在模型训练时自动将数据类型转换成需要的精度。" msgstr "to set a sub-module of the model to 16-bit floating-point types for training, and InternLM will automatically convert the data type to the required precision during model training." #: ../../source/mixed_precision.rst:16