diff --git a/docs/source/tts/quick_start.md b/docs/source/tts/quick_start.md
index d8dbc646c..d2a1b4ec9 100644
--- a/docs/source/tts/quick_start.md
+++ b/docs/source/tts/quick_start.md
@@ -79,8 +79,8 @@ checkpoint_name
 ├── snapshot_iter_*.pdz
 ├── speech_stats.npy
 ├── phone_id_map.txt
-├── spk_id_map.txt (optimal)
-└── tone_id_map.txt (optimal)
+├── spk_id_map.txt (optional)
+└── tone_id_map.txt (optional)
 ```
 **Vocoders:**
 ```text
diff --git a/docs/source/tts/quick_start_cn.md b/docs/source/tts/quick_start_cn.md
index c56d9bb45..ba2596439 100644
--- a/docs/source/tts/quick_start_cn.md
+++ b/docs/source/tts/quick_start_cn.md
@@ -87,8 +87,8 @@ checkpoint_name
 ├── snapshot_iter_*.pdz
 ├── speech_stats.npy
 ├── phone_id_map.txt
-├── spk_id_map.txt (optimal)
-└── tone_id_map.txt (optimal)
+├── spk_id_map.txt (optional)
+└── tone_id_map.txt (optional)
 ```
 **Vocoders:**
 ```text
diff --git a/paddlespeech/cli/download.py b/paddlespeech/cli/download.py
index 5661f18f9..e77a05d2e 100644
--- a/paddlespeech/cli/download.py
+++ b/paddlespeech/cli/download.py
@@ -133,10 +133,10 @@ def _get_download(url, fullname):
     total_size = req.headers.get('content-length')
     with open(tmp_fullname, 'wb') as f:
         if total_size:
-            with tqdm(total=(int(total_size) + 1023) // 1024) as pbar:
+            with tqdm(total=(int(total_size)), unit='B', unit_scale=True) as pbar:
                 for chunk in req.iter_content(chunk_size=1024):
                     f.write(chunk)
-                    pbar.update(1)
+                    pbar.update(len(chunk))
         else:
             for chunk in req.iter_content(chunk_size=1024):
                 if chunk:
diff --git a/paddlespeech/t2s/models/starganv2_vc/losses.py b/paddlespeech/t2s/models/starganv2_vc/losses.py
index f4a308da0..145344676 100644
--- a/paddlespeech/t2s/models/starganv2_vc/losses.py
+++ b/paddlespeech/t2s/models/starganv2_vc/losses.py
@@ -21,6 +21,7 @@ from .transforms import build_transforms
 
 
 # 这些都写到 updater 里
+
 def compute_d_loss(
         nets: Dict[str, Any],
         x_real: paddle.Tensor,