Classification accuracy low

XingZeng307 commented 3 years ago

❔Question

Hi, thanks for the great work and opening up the classifier branch.

Could you please check again? I did training on MNIST too, using yolov5s, but only 41% accuracy in top5 epochs, but if using EfficientNet, the results will be similar to the above one you were shown in issue#2001. (MNIST is at 99% in 5 epochs.)

I also tried a different dataset, there is still a big difference in accuracy between yolov5 classifier and EfficientNet classifier.

I pulled the latest repository. (don't know why it doesn't work). Here is my result.

python classifier.py --data mnist output:

epoch gpu_mem train_loss val_loss accuracy
1/100 0.493G 2 1.86 0.277 : 100%|| 469/469 [00:09<00:00, 49.32it/s]
2/100 0.95G 1.8 1.8 0.273 : 100%|| 469/469 [00:09<00:00, 49.34it/s]
3/100 0.95G 1.72 1.77 0.3 : 100%|| 469/469 [00:09<00:00, 48.96it/s]
4/100 0.95G 1.65 1.67 0.355 : 100%|| 469/469 [00:09<00:00, 49.04it/s]
5/100 0.95G 1.61 1.63 0.417 : 100%|| 469/469 [00:09<00:00, 48.98it/s]
6/100 0.95G 1.58 1.63 0.388 : 100%|| 469/469 [00:09<00:00, 48.68it/s]
7/100 0.95G 1.54 1.57 0.403 : 100%|| 469/469 [00:09<00:00, 48.65it/s]
8/100 0.95G 1.52 1.55 0.417 : 100%|| 469/469 [00:09<00:00, 48.64it/s]
9/100 0.95G 1.49 1.52 0.43 : 100%|| 469/469 [00:09<00:00, 48.50it/s]
10/100 0.95G 1.47 1.52 0.423 : 100%|| 469/469 [00:09<00:00, 48.28it/s]

Thank you!

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