ValueError: 40000 SR doesn't match target 48000 SR

I get this error when I try to continue training:

Process Process-1:
Traceback (most recent call last):
  File "multiprocessing\process.py", line 315, in _bootstrap
  File "multiprocessing\process.py", line 108, in run
  File "D:\RVC1006Nvidia\infer\modules\train\train.py", line 271, in run
    train_and_evaluate(
  File "D:\RVC1006Nvidia\infer\modules\train\train.py", line 401, in train_and_evaluate
    for batch_idx, info in data_iterator:
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\dataloader.py", line 634, in __next__
    data = self._next_data()
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\dataloader.py", line 1346, in _next_data
    return self._process_data(data)
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\dataloader.py", line 1372, in _process_data
    data.reraise()
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\_utils.py", line 644, in reraise
    raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\_utils\worker.py", line 308, in _worker_loop
    data = fetcher.fetch(index)
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "D:\RVC1006Nvidia\runtime\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "D:\RVC1006Nvidia\infer\lib\train\data_utils.py", line 141, in __getitem__
    return self.get_audio_text_pair(self.audiopaths_and_text[index])
  File "D:\RVC1006Nvidia\infer\lib\train\data_utils.py", line 63, in get_audio_text_pair
    spec, wav = self.get_audio(file)
  File "D:\RVC1006Nvidia\infer\lib\train\data_utils.py", line 101, in get_audio
    raise ValueError(
ValueError: 40000 SR doesn't match target 48000 SR

The problem is that I already tried with 40k and 48k and none of those work, the error always reappears. I also try restarting the pc but it doesn't work

Start with infer/lib/train/data_utils.py, especially get_audio and get_audio_text_pair, then trace the call from infer/modules/train/train.py through train_and_evaluate. Reproduce the failure with the reported 40000 and 48000 sample-rate data and inspect how the target rate is selected. Done means supported training data no longer raises the sample-rate mismatch during loading.