When i use yolov4 detector to achieve a single-class target detection tasks, i can only get training-loss and validation-loss after training process.I have tried to use "options" to get metrics ，but it made Errow, wrong use " nnet.cnn.TrainingOptions/validateDataFormatsAndMetricsAreEmpty ,trainYOLOv4ObjectDetector can’t support ‘Metrics’ training options",my code and errow are below:

Then how to get metrics during yolov4 detector training process?
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Meanwhile, after fine-tuning options parameters,I have trained the detector many times, the final training loss maintains 0.1 while validation loss can only get 2.0, how can I avoid this data overfitting?I’ve tried many methods , if you can give me some suggestions , it will be very helpful .When i use yolov4 detector to achieve a single-class target detection tasks, i can only get training-loss and validation-loss after training process.I have tried to use "options" to get metrics ，but it made Errow, wrong use " nnet.cnn.TrainingOptions/validateDataFormatsAndMetricsAreEmpty ,trainYOLOv4ObjectDetector can’t support ‘Metrics’ training options",my code and errow are below:

Then how to get metrics during yolov4 detector training process?
———————————————————————————————-
Meanwhile, after fine-tuning options parameters,I have trained the detector many times, the final training loss maintains 0.1 while validation loss can only get 2.0, how can I avoid this data overfitting?I’ve tried many methods , if you can give me some suggestions , it will be very helpful . When i use yolov4 detector to achieve a single-class target detection tasks, i can only get training-loss and validation-loss after training process.I have tried to use "options" to get metrics ，but it made Errow, wrong use " nnet.cnn.TrainingOptions/validateDataFormatsAndMetricsAreEmpty ,trainYOLOv4ObjectDetector can’t support ‘Metrics’ training options",my code and errow are below:

Then how to get metrics during yolov4 detector training process?
———————————————————————————————-
Meanwhile, after fine-tuning options parameters,I have trained the detector many times, the final training loss maintains 0.1 while validation loss can only get 2.0, how can I avoid this data overfitting?I’ve tried many methods , if you can give me some suggestions , it will be very helpful . yolov4 detector, metrics, overfitting MATLAB Answers — New Questions

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