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> @itachi1232gg `torch.distributed.launch` is deprecated; maybe you should try this command: `torchrun --standalone --nnodes=1 --nproc-per-node=4 train_dual.py --worker 8 --device 0, 1, 2, 3 --sync-bn --batch 64`. You can visit `torchrun`'s...

1. Lowering the batch size (from 64 -> 48) : not working. 2. Using `torchrun` to start the training: not working 3. Using `--cache ram ` to cache the data...

> I've experienced similar situations with slow training speed, which I noticed the GPU usage fluctuates (between 0-90%) during the training, indicating that the GPU is not fully utilized. >...

@QuarTerll You may want to train yolov9 using Ultralytics implementation. see https://docs.ultralytics.com/models/yolov9/ I trained yolov9e by using Ultralytics , each epoch spent around 40 mins while this repo spent 3...

yolo series are not released by the same author, hard to say which one is better, I believe yolov6-3.0 is better than v5, v7, v8.