performance with virtual augmentation

[kiucho]

Hi, I'm reproducing paper and having some issues.
I used below SCCL with virtual augmentation code.
'''
python3 main.py
--resdir $path-to-store-your-results
--use_pretrain SBERT
--bert distilbert
--datapath $path-to-your-data
--dataname searchsnippets
--num_classes 8
--text text
--label label
--objective SCCL
--augtype virtual
--temperature 0.5
--eta 10
--lr 1e-05
--lr_scale 100
--max_length 32
--batch_size 400
--max_iter 1000
--print_freq 100
--gpuid 1 &
'''
but Acc of Representation with Kmeans is higher than Acc of model.
I have no idea what the problem is..
Thank you for your help.