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This PR adds a new training argument
--save-period
to save training checkpoints everyx
epochs. To save training every 50 epochs for example:python train.py --save-period 50 # saves epoch50.pt, epoch100.pt, epoch150.pt, ... etc.
This saved checkpoints in addition to existing last.pt and best.pt checkpoints and does not affect their behavior. Default value is -1, i.e. disabled.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Implementing periodic checkpoint saving during model training in YOLOv5.
📊 Key Changes
--save-period
.🎯 Purpose & Impact
--save-period
), improving resource management and providing intermediate points to resume training if necessary.