Laughing

@ichsan2895 @Kang812 guys, testing with the latest version, I don't see any errors: ```bash yolo task=detect mode=train data=coco128.yaml model=weights/yolov8n.pt epochs=20 device=\'0,1\' ``` 

@Ashlesha1995 hi, it could be the same issue as this one, can you check it? #234, #253

@Ashlesha1995 I'm closing this issue as the same issue had been solved. Feel free to reopen if it still happens after you check the data. :)

@icklerly1 the save_dir is composed of `project` and `name`, which means `save_dir` = `project/name`, so just modify these two if you want to change save_dir.

@AyushExel I think we don't support this right?

@icklerly1 yeah, just pass `save_period` i.e: ```python model.train(data=..., save_period=...) ```

@jkgjhfghdgfscv hi, can you provide more info? like your training command, and the version of ultralytics package.

> import ultralytics from ultralytics import YOLO model = YOLO("yolov8m-seg.pt") model.train(data="data.yaml", epochs=200, imgsz=640, batch=8, name='Train') Recently (after switching to 8.05) started to loop infinitely over that "freeze_support()" error.. Not related...

@aspyct hi if you're going to predict segmentation, you also have to use `yolov8x-seg.pt`. But from your command I saw you were using `yolov8x.pt` for segment. So that's the problem.

@Racheal-c hi, it could be the same issue as this one, can you check it? https://github.com/ultralytics/ultralytics/issues/234, https://github.com/ultralytics/ultralytics/issues/253