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src/f5_tts/train/finetune_cli.py

@@ -106,6 +106,8 @@ def main():
 
     vocab_char_map, vocab_size = get_tokenizer(tokenizer_path, tokenizer)
 
+    print("\nvocab : ", vocab_size)
+
     mel_spec_kwargs = dict(
         target_sample_rate=target_sample_rate,
         n_mel_channels=n_mel_channels,

src/f5_tts/train/finetune_gradio.py

@@ -1389,7 +1389,7 @@ If you encounter a memory error, try reducing the batch size per GPU to a smalle
                 save_per_updates.value = save_per_updatesv
                 last_per_steps.value = last_per_stepsv
                 ch_finetune.value = finetunev
-                file_checkpoint_train.value = file_checkpoint_train
+                file_checkpoint_train.value = file_checkpoint_trainv
                 tokenizer_type.value = tokenizer_typev
                 tokenizer_file.value = tokenizer_filev
                 mixed_precision.value = mixed_precisionv