change v1.1 to v2.0
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@ -10,8 +10,8 @@
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## 配置文件参数介绍
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以 `rec_chinese_lite_train_v1.1.yml ` 为例
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### Global
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以 `rec_chinese_lite_train_v2.0.yml ` 为例
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### Global
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| 字段 | 用途 | 默认值 | 备注 |
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| :----------------------: | :---------------------: | :--------------: | :--------------------: |
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| shuffle | 每个epoch是否将数据集顺序打乱 | True | \ |
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| batch_size_per_card | 训练时单卡batch size | 256 | \ |
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| drop_last | 是否丢弃因数据集样本数不能被 batch_size 整除而产生的最后一个不完整的mini-batch | True | \ |
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| num_workers | 用于加载数据的子进程个数,若为0即为不开启子进程,在主进程中进行数据加载 | 8 | \ |
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| num_workers | 用于加载数据的子进程个数,若为0即为不开启子进程,在主进程中进行数据加载 | 8 | \ |
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@ -9,8 +9,8 @@ The following list can be viewed through `--help`
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## INTRODUCTION TO GLOBAL PARAMETERS OF CONFIGURATION FILE
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Take rec_chinese_lite_train_v1.1.yml as an example
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### Global
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Take rec_chinese_lite_train_v2.0.yml as an example
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### Global
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| Parameter | Use | Defaults | Note |
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| :----------------------: | :---------------------: | :--------------: | :--------------------: |
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@ -118,4 +118,4 @@ In ppocr, the network is divided into four stages: Transform, Backbone, Neck and
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| shuffle | Does each epoch disrupt the order of the data set | True | \ |
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| batch_size_per_card | Single card batch size during training | 256 | \ |
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| drop_last | Whether to discard the last incomplete mini-batch because the number of samples in the data set cannot be divisible by batch_size | True | \ |
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| num_workers | The number of sub-processes used to load data, if it is 0, the sub-process is not started, and the data is loaded in the main process | 8 | \ |
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| num_workers | The number of sub-processes used to load data, if it is 0, the sub-process is not started, and the data is loaded in the main process | 8 | \ |
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