I used the recommended training command (python main.py --dataset ImageNet-LT -a resnext50_32x4d --num_classes 1000 --beta 0.5 --lr 0.1 --epochs 135 -b 120 --momentum 0.9 --weight_decay 2e-4 --resample_weighting 0.2 --label_weighting 1.0 --contrast_weight 10) and the results obtained (Prec@1 54.946 Prec@5 77.946) differ significantly from those published in the paper. May I ask what is the command for training ImageNet?
I used the recommended training command (python main.py --dataset ImageNet-LT -a resnext50_32x4d --num_classes 1000 --beta 0.5 --lr 0.1 --epochs 135 -b 120 --momentum 0.9 --weight_decay 2e-4 --resample_weighting 0.2 --label_weighting 1.0 --contrast_weight 10) and the results obtained (Prec@1 54.946 Prec@5 77.946) differ significantly from those published in the paper. May I ask what is the command for training ImageNet?