From 3938f0581be6ba0d9a82b7d3bbe1d7bdb16e2316 Mon Sep 17 00:00:00 2001
From: Songting <112609742+Plachtaa@users.noreply.github.com>
Date: Wed, 21 Jun 2023 15:02:51 +0800
Subject: [PATCH] Update LOCAL.md

---
 LOCAL.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/LOCAL.md b/LOCAL.md
index c41a336..3e39a4a 100644
--- a/LOCAL.md
+++ b/LOCAL.md
@@ -98,7 +98,7 @@
 12. Start Training.  
    Run `python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs "{Maximum_epochs}" --drop_speaker_embed True`  
    Do replace `{Maximum_epochs}` with your desired number of epochs. Empirically, 100 or more is recommended.  
-   To continue training on previous checkpoint, change the training command to: `python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs "{Maximum_epochs}" --drop_speaker_embed True --cont True`. Before you do this, make sure you have previous `G_latest.pth` and `D_latest.pth` under `./OUTPUT_MODEL/` directory.  
+   To continue training on previous checkpoint, change the training command to: `python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs "{Maximum_epochs}" --drop_speaker_embed False --cont True`. Before you do this, make sure you have previous `G_latest.pth` and `D_latest.pth` under `./OUTPUT_MODEL/` directory.  
    To view training progress, open a new terminal and `cd` to the project root directory, run `tensorboard --logdir=./OUTPUT_MODEL`, then visit `localhost:6006` with your web browser.
 13. After training is completed, you can use your model by running:  
    `python VC_inference.py --model_dir ./OUTPUT_MODEL/G_latest.pth --share True`