I’m retraining DAMO-YOLO using the damoyolo_tinynasL20_T.py configuration file and the damoyolo_tinynasL20_T_420.pth pretrained weights. The total number of training epochs is set to 300. I’d like to know if there’s a parameter available to enable early stopping, so that training stops automatically if the model’s performance plateaus, or if DAMO-YOLO strictly follows a fixed training schedule, requiring me to wait until all 300 epochs are completed?
Related topics
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Retrain YOLOv5 on a custom dataset | 14 | 3126 | May 26, 2025 | |
| Hailo Model Zoo - Failing to compile a DamoYolo | 7 | 350 | February 28, 2025 | |
| compiling my model. | 2 | 49 | June 7, 2025 | |
| Model Zoo Object Detection Yolov10 AccessDenied | 1 | 100 | September 2, 2024 | |
| Train our own NN | 2 | 369 | July 16, 2024 |