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HUB Component
No response
Bug
Using yolo detect train data=data/classify. yaml model=yolov8n. pt epochs=100 imgsz=640 to train a custom dataset on the local command line, an error termination occurs after approximately seven to eight iterations. The error message is as follows: Traceback (most recent call last): File "", line 198, in _run_module_as_main
File "", line 88, in _run_code
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Scripts\yolo.exe__main.py", line 7, in
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\cfg__init__.py", line 591, in entrypoint
getattr(model, mode)(*overrides) # default args from model
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\engine\model.py", line 650, in train
self.trainer.train()
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\engine\trainer.py", line 204, in train
self._do_train(world_size)
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\engine\trainer.py", line 429, in _do_train
self.metrics, self.fitness = self.validate()
^^^^^^^^^^^^^^^
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\engine\trainer.py", line 570, in validate
metrics = self.validator(self)
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\ultralytics\engine\validator.py", line 195, in call__
stats = self.get_stats()
^^^^^^^^^^^^^^^^
File "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\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 "C:\Users\Y\AppData\Local\anaconda3\envs\yolov5\Lib\site-packages\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
Environment
Ultralytics YOLOv8.2.48 🚀 Python-3.11.9 torch-2.3.1 CUDA:0 (NVIDIA GeForce GTX 1050 Ti, 4096MiB)
Minimal Reproducible Example
No response
Additional
The yolov5m6 model has been successfully trained on this dataset