question about reproduce

[545487677]

Hi,
Thank you for your great job.
But I want to know how can I get the same cifar100 with fulltune result(85.90). I don't know the specific hyperparameters to get the result..
I only get 85.48
{"train_lr": 6.4497597627254405e-06, "train_loss": 0.19667177986449155, "test_loss": 0.7042211120641684, "test_acc1": 85.48, "test_acc5": 97.35, "epoch": 99, "n_parameters": 85875556}
My experiment setting is
python3 -m torch.distributed.launch --nproc_per_node=1 --use_env main_image.py
--batch_size 128 --cls_token
--finetune xxxx
--dist_eval --data_path xxxx
--output_dir xxxx
--drop_path 0.0 --blr 0.1
--dataset cifar100 --fulltune

Also, for the adapterformer-64, I also get "test_acc1": 85.8, "test_acc5": 97.92, how can I get 85.90?
python3 -m torch.distributed.launch --nproc_per_node=1 --use_env main_image.py
--batch_size 128 --cls_token
--finetune xxx
--dist_eval --data_path xxxx
--output_dir xxxx
--drop_path 0.0 --blr 0.1
--dataset cifar100 --ffn_adapt