From 2b281bc446f0ccc3b27c6e5aa2380660d2730c2f Mon Sep 17 00:00:00 2001
From: ylzz1997 <ylzz1997@outlook.com>
Date: Tue, 30 May 2023 18:07:07 +0800
Subject: [PATCH] Updata Readme

---
 README.md       | 18 ++++++++++--------
 README_zh_CN.md | 17 +++++++++--------
 2 files changed, 19 insertions(+), 16 deletions(-)

diff --git a/README.md b/README.md
index a86b3d3..763f6e5 100644
--- a/README.md
+++ b/README.md
@@ -226,14 +226,6 @@ whisper-ppg
 
 If the speech_encoder argument is omitted, the default value is vec768l12
 
-#### You can modify some parameters in the generated config.json and diffusion.yaml
-
-* `keep_ckpts`: Keep the last `keep_ckpts` models during training. Set to `0` will keep them all. Default is `3`.
-
-* `all_in_mem`, `cache_all_data`: Load all dataset to RAM. It can be enabled when the disk IO of some platforms is too low and the system memory is **much larger** than your dataset.
-  
-* `batch_size`: The amount of data loaded to the GPU for a single training session can be adjusted to a size lower than the video memory capacity.
-
 **Use loudness embedding**
 
 Add `--vol_aug` if you want to enable loudness embedding:
@@ -244,6 +236,16 @@ python preprocess_flist_config.py --speech_encoder vec768l12 --vol_aug
 
 After enabling loudness embedding, the trained model will match the loudness of the input source; otherwise, it will be the loudness of the training set.
 
+#### You can modify some parameters in the generated config.json and diffusion.yaml
+
+* `keep_ckpts`: Keep the last `keep_ckpts` models during training. Set to `0` will keep them all. Default is `3`.
+
+* `all_in_mem`, `cache_all_data`: Load all dataset to RAM. It can be enabled when the disk IO of some platforms is too low and the system memory is **much larger** than your dataset.
+  
+* `batch_size`: The amount of data loaded to the GPU for a single training session can be adjusted to a size lower than the video memory capacity.
+
+
+
 ### 3. Generate hubert and f0
 
 ```shell
diff --git a/README_zh_CN.md b/README_zh_CN.md
index 0703333..9fc898e 100644
--- a/README_zh_CN.md
+++ b/README_zh_CN.md
@@ -228,14 +228,6 @@ whisper-ppg
 
 如果省略speech_encoder参数，默认值为vec768l12
 
-#### 此时可以在生成的config.json与diffusion.yaml修改部分参数
-
-* `keep_ckpts`：训练时保留最后几个模型，`0`为保留所有，默认只保留最后`3`个
-
-* `all_in_mem`,`cache_all_data`：加载所有数据集到内存中，某些平台的硬盘IO过于低下、同时内存容量 **远大于** 数据集体积时可以启用
-
-* `batch_size`：单次训练加载到GPU的数据量，调整到低于显存容量的大小即可
-
 **使用响度嵌入**
 
 若使用响度嵌入，需要增加`--vol_aug`参数，比如：
@@ -246,6 +238,15 @@ python preprocess_flist_config.py --speech_encoder vec768l12 --vol_aug
 
 使用后训练出的模型将匹配到输入源响度，否则为训练集响度。
 
+#### 此时可以在生成的config.json与diffusion.yaml修改部分参数
+
+* `keep_ckpts`：训练时保留最后几个模型，`0`为保留所有，默认只保留最后`3`个
+
+* `all_in_mem`,`cache_all_data`：加载所有数据集到内存中，某些平台的硬盘IO过于低下、同时内存容量 **远大于** 数据集体积时可以启用
+
+* `batch_size`：单次训练加载到GPU的数据量，调整到低于显存容量的大小即可
+
+
 ### 3. 生成hubert与f0
 
 ```shell