Relevant configuration for training swin transformer

[starmemda]

hello, i have try to train swin transformer myself aiming to get the same performance in the paper. but i failed as following configuration:

nohup ./distributed_train.sh 8 /share/wuxiangyu/cx/data/CLS-LOC --model swin_tiny_patch4_window7_224 -b 300 --sched cosine --epochs 300 --decay-epochs 2.4 --decay-rate .97 --opt adamw --opt-eps .001 -j 8 --warmup-lr 1e-3 --warmup-epochs 20 --weight-decay 0.05 --drop 0.3 --drop-connect 0.2 --model-ema --model-ema-decay 0.9999 --aa rand-m9-mstd0.5 --remode pixel --reprob 0.2 --amp --lr .001 >./logs/swin_tiny_patch4_window7_224_0417.log 2>&1&

could anyone tell me how to modify my code to star training?