Yolo v8 Classification Training on custom dataset Found Error

[Sayed049]

!yolo task=classify mode=train model=yolov8n-cls.pt data=/content/drive/MyDrive/Yolo_v8_Classification_Custom/data/train epochs=61 imgsz=640,, when i use my path where i kept all my images i found error..

Ultralytics YOLOv8.0.62 🚀 Python-3.9.16 torch-2.0.0+cu118 CUDA:0 (Tesla T4, 15102MiB)
yolo/engine/trainer: task=classify, mode=train, model=yolov8n-cls.pt, data=/content/drive/MyDrive/Yolo_v8_Classification_Custom/data/train, epochs=61, patience=50, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=True, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, boxes=True, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, fl_gamma=0.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=False, tracker=botsort.yaml, save_dir=runs/classify/train11
Traceback (most recent call last):
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/engine/trainer.py", line 121, in init
self.data = check_cls_dataset(self.args.data)
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/data/utils.py", line 300, in check_cls_dataset
names = [x.name for x in (data_dir / 'train').iterdir() if x.is_dir()] # class names list
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/data/utils.py", line 300, in
names = [x.name for x in (data_dir / 'train').iterdir() if x.is_dir()] # class names list
File "/usr/lib/python3.9/pathlib.py", line 1160, in iterdir
for name in self._accessor.listdir(self):
FileNotFoundError: [Errno 2] No such file or directory: '/content/drive/MyDrive/Yolo_v8_Classification_Custom/data/train/train'

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

Traceback (most recent call last):
File "/usr/local/bin/yolo", line 8, in
sys.exit(entrypoint())
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/cfg/init.py", line 391, in entrypoint
getattr(model, mode)(**overrides) # default args from model
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/engine/model.py", line 347, in train
self.trainer = TASK_MAP[self.task]1
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/v8/classify/train.py", line 20, in init
super().init(cfg, overrides)
File "/usr/local/lib/python3.9/dist-packages/ultralytics/yolo/engine/trainer.py", line 127, in init
raise RuntimeError(emojis(f"Dataset '{self.args.data}' error ❌ {e}")) from e
RuntimeError: Dataset '/content/drive/MyDrive/Yolo_v8_Classification_Custom/data/train' error ❌ [Errno 2] No such file or directory: '/content/drive/MyDrive/Yolo_v8_Classification_Custom/data/train/train'