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Update mixed_precision.po

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Wenwen Qu 2023-09-26 16:57:47 +08:00 committed by GitHub
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doc/code-docs/locales/en/LC_MESSAGES/mixed_precision.po
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@ -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