🎨 同步 locale (#266)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

i18n/en_US.json

@@ -39,7 +39,6 @@
     "输入实验名": "Input experiment name",
     "目标采样率": "Target sample rate",
     "模型是否带音高指导(唱歌一定要, 语音可以不要)": "Does the model have pitch guidance (singing must, voice can not.)",
-    "否": "no",
     "step2a: 自动遍历训练文件夹下所有可解码成音频的文件并进行切片归一化, 在实验目录下生成2个wav文件夹; 暂时只支持单人训练. ": "step2a: Automatically traverse all files that can be decoded into audio in the training folder and perform slice normalization, and generate 2 wav folders in the experiment directory; only single-person training is supported for the time being. ",
     "输入训练文件夹路径": "Input training folder path",
     "请指定说话人id": "Please specify speaker ID",
@@ -55,6 +54,7 @@
     "总训练轮数total_epoch": "Total training epochs (total_epoch)",
     "每张显卡的batch_size": "batch_size for every GPU",
     "是否仅保存最新的ckpt文件以节省硬盘空间": "Whether to save only the latest ckpt file to save disk space",
+    "否": "no",
     "是否缓存所有训练集至显存. 10min以下小数据可缓存以加速训练, 大数据缓存会炸显存也加不了多少速": "Whether to cache all training sets to video memory. Small data under 10 minutes can be cached to speed up training, and large data cache will blow up video memory and not increase the speed much",
     "加载预训练底模G路径": "Load pre-trained base model G path.",
     "加载预训练底模D路径": "Load pre-trained base model D path.",