diff --git a/src/f5_tts/train/finetune_cli.py b/src/f5_tts/train/finetune_cli.py
index 74d0cc2..bfd0499 100644
--- a/src/f5_tts/train/finetune_cli.py
+++ b/src/f5_tts/train/finetune_cli.py
@@ -6,6 +6,7 @@ from cached_path import cached_path
 from f5_tts.model import CFM, UNetT, DiT, Trainer
 from f5_tts.model.utils import get_tokenizer
 from f5_tts.model.dataset import load_dataset
+from importlib.resources import files
 
 
 # -------------------------- Dataset Settings --------------------------- #
@@ -63,6 +64,7 @@ def parse_args():
 
 def main():
     args = parse_args()
+    checkpoint_path = str(files("f5_tts").joinpath(f"../../ckpts/{args.dataset_name}"))
 
     # Model parameters based on experiment name
     if args.exp_name == "F5TTS_Base":
@@ -85,12 +87,9 @@ def main():
                 ckpt_path = args.pretrain
 
     if args.finetune:
-        path_ckpt = os.path.join("ckpts", args.dataset_name)
-        if not os.path.isdir(path_ckpt):
-            os.makedirs(path_ckpt, exist_ok=True)
-            shutil.copy2(ckpt_path, os.path.join(path_ckpt, os.path.basename(ckpt_path)))
-
-    checkpoint_path = os.path.join("ckpts", args.dataset_name)
+        if not os.path.isdir(checkpoint_path):
+            os.makedirs(checkpoint_path, exist_ok=True)
+            shutil.copy2(ckpt_path, os.path.join(checkpoint_path, os.path.basename(ckpt_path)))
 
     # Use the tokenizer and tokenizer_path provided in the command line arguments
     tokenizer = args.tokenizer