From ecd79ace3ec71db913a8a6037fe6f049b5973791 Mon Sep 17 00:00:00 2001 From: cuicheng01 Date: Tue, 15 Feb 2022 04:12:35 +0000 Subject: [PATCH] update --- .../quick_start_classification_professional_en.md | 4 +++- .../quick_start/quick_start_classification_professional.md | 6 ++++-- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/docs/en/quick_start/quick_start_classification_professional_en.md b/docs/en/quick_start/quick_start_classification_professional_en.md index dc58632b..10c21740 100644 --- a/docs/en/quick_start/quick_start_classification_professional_en.md +++ b/docs/en/quick_start/quick_start_classification_professional_en.md @@ -75,7 +75,9 @@ python3 -m paddle.distributed.launch \ The highest accuracy of the validation set is around 0.415. -** Note** If the number of GPU cards is not 4, the accuracy of the validation set may be different from 0.415. To maintain a comparable accuracy, you need to change the learning rate in the configuration file to the current learning rate / 4 \* current card number. The same below. +* ** Note** + + * If the number of GPU cards is not 4, the accuracy of the validation set may be different from 0.415. To maintain a comparable accuracy, you need to change the learning rate in the configuration file to `the current learning rate / 4 \* current card number`. The same below. diff --git a/docs/zh_CN/quick_start/quick_start_classification_professional.md b/docs/zh_CN/quick_start/quick_start_classification_professional.md index f8c17424..4564b059 100644 --- a/docs/zh_CN/quick_start/quick_start_classification_professional.md +++ b/docs/zh_CN/quick_start/quick_start_classification_professional.md @@ -75,7 +75,9 @@ python3 -m paddle.distributed.launch \ 验证集的最高准确率为 0.415 左右。 -** 注意** 如果 GPU 卡数不是 4，验证集的准确率可能与 0.415 有差异，若需保持相当的准确率，需要将配置文件中的学习率改为当前学习率 / 4 \* 当前卡数。下同。 +* **注意** + + * 如果 GPU 卡数不是 4，验证集的准确率可能与 0.415 有差异，若需保持相当的准确率，需要将配置文件中的学习率改为`当前学习率 / 4 \* 当前卡数`。下同。 @@ -155,7 +157,7 @@ python3 -m paddle.distributed.launch \ * **注意** * 其他数据增广的配置文件可以参考 `ppcls/configs/ImageNet/DataAugment/` 中的配置文件。 -* 训练 CIFAR100 的迭代轮数较少，因此进行训练时，验证集的精度指标可能会有 1% 左右的波动。 + * 训练 CIFAR100 的迭代轮数较少，因此进行训练时，验证集的精度指标可能会有 1% 左右的波动。 -- GitLab