why early stopping occurs, how to cancel early stopping

[besbesmany]

[besbesmany]

also the classification of different classes (map , precision , recall) not appears at the end of epochs as before, how to get this data

[glenn-jocher]

@besbesmany EarlyStopping stops training when no improvement is seen for patience epochs. By default patience is set to 30, but you can set this to any other value you want, i.e. --patience 100.

yolov5/train.py

Line 465 in fad57c2

parser.add_argument('--patience', type=int, default=30, help='EarlyStopping patience (epochs)')

you can run val.py at anytime to generate full metrics on any model:

python val.py --weights path/to/best.pt --data data.yaml

[glenn-jocher]

@besbesmany good news 😃! Your original issue may now be fixed ✅ in PR #4653. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload with model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!