From c03fe7377b7b7eb21be6e0241b793f24ea4e0878 Mon Sep 17 00:00:00 2001 From: omahs <73983677+omahs@users.noreply.github.com> Date: Tue, 5 Dec 2023 09:45:00 +0100 Subject: [PATCH] fix typos --- docs/source/finetuning.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/finetuning.md b/docs/source/finetuning.md index c236260d..069f5651 100644 --- a/docs/source/finetuning.md +++ b/docs/source/finetuning.md @@ -21,7 +21,7 @@ them and fine-tune it for your own dataset. This will help you in two main ways: Fine-tuning comes to the rescue in this case. You can take one of our pre-trained models and fine-tune it on your own speech dataset and achieve reasonable results with only a couple of hours of data. - However, note that, fine-tuning does not ensure great results. The model performance is still depends on the + However, note that, fine-tuning does not ensure great results. The model performance still depends on the {ref}`dataset quality ` and the hyper-parameters you choose for fine-tuning. Therefore, it still takes a bit of tinkering. @@ -41,7 +41,7 @@ them and fine-tune it for your own dataset. This will help you in two main ways: tts --list_models ``` - The command above lists the the models in a naming format as ```///```. + The command above lists the models in a naming format as ```///```. Or you can manually check the `.model.json` file in the project directory.