Regarding the Parameter Quantity and Accuracy of the EAT-S Model

[fyl-yyds]

Hello
I think your paper is great, but I encountered some problems during training. I hope you can help me take a look.
When I used ESC-50 to train EAT-S on a single 4090，The default parameters used are README.md:
Fs=22.05KHz
seq_len = 114688 ~5sec
python trainer.py --max_lr 3e-4 --run_name r1 --emb_dim 128 --dataset esc50 --seq_len 114688 --mix_ratio 1 --epoch_mix 12 --mix_loss bce --batch_size 128 --n_epochs 3500 --ds_factors 4 4 4 4 --amp --save_path outputs
My model has a parameter size of around 5.18M and a 5-fold cross validation accuracy of 90.5, which is not consistent with the 5.3M and 92.15 values mentioned in the paper. Do you know what the problem is ?