How to reduce the size of best.pt

[suigong1]

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Question

I finished a simple train with 60 images and 1 tag, but after 100 training epochs, it generated a best.pt file with 14MB, what can I do to reduce the size of the best.pt, like changing the epochs or pre-training weights or batch-size?
Looking forward to your further reply!

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[github-actions]

👋 Hello @suigong1, 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]

@suigong1 hey there! 🚀 Reducing the size of your best.pt model file can be approached in a few ways:

1. Model Selection: Opt for a smaller model architecture like YOLOv5s if you haven't already. This has fewer parameters and thus will produce a smaller model file.

   python train.py --data custom.yaml --weights yolov5s.pt

2. Pruning: After training, you can apply model pruning techniques to remove less important weights, which can reduce the model size significantly.

3. Quantization: Implementing quantization can also reduce the model size by decreasing the precision of the weights.

Keep in mind that reducing the model size might affect the accuracy and robustness of your model. If you need more detailed guidance, check out our tips for best training results at https://docs.ultralytics.com/yolov5/tutorials/tips_for_best_training_results/. Good luck! 🍀

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