Why did the losses suddenly drop at the end？ about ultralytics HOT 1 OPEN

@Lanson426 hello! Regarding the sudden drop in losses you observed, this could be due to several reasons:

• Learning Rate Scheduling: If a learning rate scheduler is in use (like cosine annealing), it can reduce the learning rate late in the training, leading to significant improvements in the last epochs.
• Optimizer Convergence: As the optimizer further minimizes the loss, it might have successfully navigated past a plateau or found a more optimal path in the loss landscape.
• Data Augmentation or Regularization Effects: Changes in data augmentation strategies or regularization parameters towards the latter stages of training can also impact losses.

Make sure to check these elements in your training configuration to better understand this behavior. If you need further details, sharing snippets of your training log or code might help diagnose the issue more precisely. Happy training! 👍

from ultralytics.