为什么训练完一个epoch后的验证部分报错了，报错情况如下

[jjxyhb]

             Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 625/625 [02:22<00:00,  4.40it/s]

Traceback (most recent call last):
File "/home/dell/CV408/hb/Mamba-YOLO/mbyolo_train.py", line 44, in
"train": YOLO(model_conf).train(**args),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/engine/model.py", line 674, in train
self.trainer.train()
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/engine/trainer.py", line 199, in train
self._do_train(world_size)
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/engine/trainer.py", line 424, in _do_train
self.metrics, self.fitness = self.validate()
^^^^^^^^^^^^^^^
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/engine/trainer.py", line 565, in validate
metrics = self.validator(self)
^^^^^^^^^^^^^^^^^^^^
File "/home/dell/anaconda3/envs/mambayolo/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/engine/validator.py", line 195, in call
stats = self.get_stats()
^^^^^^^^^^^^^^^^
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/models/yolo/detect/val.py", line 172, in get_stats
stats = {k: torch.cat(v, 0).cpu().numpy() for k, v in self.stats.items()} # to numpy
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/dell/CV408/hb/Mamba-YOLO/ultralytics/models/yolo/detect/val.py", line 172, in
stats = {k: torch.cat(v, 0).cpu().numpy() for k, v in self.stats.items()} # to numpy
^^^^^^^^^^^^^^^
RuntimeError: torch.cat(): expected a non-empty list of Tensors