How can I train customized dataset with YOLO5s on CPU

[Pearl813]

Hello, Everyone!
When I was working on training my customized datasets with Yolo5s model, I faced this error. I think, this error is occurred because I have not used GPU. But I can not use GPU. If you have some experience in this case, please try to teach so that I can fix this error.

`Starting training for 3 epochs...

  Epoch    GPU_mem   box_loss   obj_loss   cls_loss  Instances       Size

0%| | 0/25 [00:05<?, ?it/s]
Traceback (most recent call last):
File "C:\Users\admin\anaconda3\Lib\site-packages\torch\utils\data\dataloader.py", line 1133, in _try_get_data
data = self._data_queue.get(timeout=timeout)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\anaconda3\Lib\multiprocessing\queues.py", line 114, in get
raise Empty
_queue.Empty

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "C:\Users\admin\Documents\yolov5\train.py", line 647, in
main(opt)
File "C:\Users\admin\Documents\yolov5\train.py", line 536, in main
train(opt.hyp, opt, device, callbacks)
File "C:\Users\admin\Documents\yolov5\train.py", line 291, in train
for i, (imgs, targets, paths, _) in pbar: # batch -------------------------------------------------------------
File "C:\Users\admin\anaconda3\Lib\site-packages\tqdm\std.py", line 1178, in iter
for obj in iterable:
File "C:\Users\admin\Documents\yolov5\utils\dataloaders.py", line 172, in iter
yield next(self.iterator)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\anaconda3\Lib\site-packages\torch\utils\data\dataloader.py", line 634, in next
data = self._next_data()
^^^^^^^^^^^^^^^^^
File "C:\Users\admin\anaconda3\Lib\site-packages\torch\utils\data\dataloader.py", line 1329, in _next_data
idx, data = self._get_data()
^^^^^^^^^^^^^^^^
File "C:\Users\admin\anaconda3\Lib\site-packages\torch\utils\data\dataloader.py", line 1295, in _get_data
success, data = self._try_get_data()
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\anaconda3\Lib\site-packages\torch\utils\data\dataloader.py", line 1146, in _try_get_data
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e
RuntimeError: DataLoader worker (pid(s) 16424, 16608, 1292, 9448) exited unexpectedly`