Periodical Weight Save

[aseprohman]

❔Question

Additional context

Hello @glenn-jocher

How to save weights in periodical epoch step ? for example I have train my dataset for 200 epoch and I want to save my weights every 50 epoch ?
I've try to train data with yolov4 alexeyab and he have methode for save weight in periodical batch dataset.
I hope it will possible too in your training framework

[github-actions]

👋 Hello @aseprohman, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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[glenn-jocher]

@aseprohman good news 😃! Your feature suggestion should now be implemented ✅ in PR #5047. This PR implements a --save-period argument to allow for periodic checkpointing during training, i.e. python train.py --save-period 50 to checkpoint epoch 50, epoch 100, etc.

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 🚀!