YOLO11:How can I automaticly save the data of the val results

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1

I have a lot of yaml files and use a for loop to train each corresponding model on the ssh server. Now I want to automatically save the verification result data to a file (such as a txt file) after each training and verification, so that I can view and compare the performance of each model later. The data I mean is the one in the picture(map50,map50-95…)

MLCA+AIFI
MLCA+AIFI1432×327 62.2 KB

2

The metrics should be available in the returned object

In [6]: results = model.val(data="coco128.yaml", exist_ok=True)
In [7]: results.results_dict
Out[7]:
{'metrics/precision(B)': np.float64(0.6636419560169069),
 'metrics/recall(B)': np.float64(0.588800650875576),
 'metrics/mAP50(B)': np.float64(0.6714676194841959),
 'metrics/mAP50-95(B)': np.float64(0.5051438725871794),
 'fitness': np.float64(0.5217762472768811)}
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3

You could also run your code from the CLI with:

nohup python train.py &

which will run the training in the background and log the output to a nohup.out log file. Replace train.py with whatever Python script you have to run your for-loop.