im training a model of annoying orange but i get this error when training the gpt part
[rank: 0] Seed set to 1234
Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/1
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distributed_backend=gloo
All distributed processes registered. Starting with 1 processes
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semantic_data_len: 11
phoneme_data_len: 11
item_name semantic_audio
0 Untitled.wav_0000000000_0000102080.wav 256 180 615 446 772 522 1008 1008 336 277 502 ...
1 Untitled.wav_0000277440_0000498880.wav 54 382 791 470 615 138 427 220 15 624 631 579 ...
2 Untitled.wav_0000640000_0000920640.wav 54 612 810 1 401 769 510 510 864 384 744 548 8...
3 Untitled.wav_0001162880_0001362560.wav 872 769 493 618 907 100 805 14 802 241 66 864 ...
4 Untitled.wav_0001613120_0001757440.wav 520 105 105 105 105 271 520 98 75 507 360 770 ...
5 Untitled.wav_0001987840_0002052800.wav 774 457 632 453 678 371 624 719 552 651 4 102 ...
6 Untitled.wav_0000119040_0000276800.wav 54 505 505 505 149 848 98 556 287 615 690 9 10...
7 Untitled.wav_0000498880_0000640000.wav 54 360 96 724 66 888 42 42 381 880 565 168 132...
8 Untitled.wav_0000920640_0001162880.wav 752 139 66 407 82 589 62 833 310 903 991 437 4...
9 Untitled.wav_0001362560_0001613120.wav 1005 655 630 451 992 914 381 553 221 78 929 98...
10 Untitled.wav_0001757440_0001987840.wav 474 537 452 371 691 479 73 615 384 51 256 166 ...
Traceback (most recent call last):
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\GPT_SoVITS\s1_train.py", line 179, in <module>
main(args)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\GPT_SoVITS\s1_train.py", line 155, in main
trainer.fit(model, data_module, ckpt_path=ckpt_path)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 544, in fit
call._call_and_handle_interrupt(
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\call.py", line 43, in _call_and_handle_interrupt
return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\strategies\launchers\subprocess_script.py", line 102, in launch
return function(*args, **kwargs)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 580, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\trainer.py", line 950, in _run
call._call_setup_hook(self) # allow user to setup lightning_module in accelerator environment
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\call.py", line 92, in _call_setup_hook
_call_lightning_datamodule_hook(trainer, "setup", stage=fn)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\runtime\lib\site-packages\pytorch_lightning\trainer\call.py", line 179, in _call_lightning_datamodule_hook
return fn(*args, **kwargs)
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\GPT_SoVITS\AR\data\data_module.py", line 30, in setup
self._train_dataset = Text2SemanticDataset(
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\GPT_SoVITS\AR\data\dataset.py", line 110, in __init__
self.init_batch()
File "G:\GPT-SoVITS-v3lora-20250228\GPT-SoVITS-v3lora-20250228\GPT_SoVITS\AR\data\dataset.py", line 190, in init_batch
for _ in range(max(2, int(min_num / leng))):
ZeroDivisionError: division by zero```