Open aaronlyt opened 3 months ago
Thanks for your interest. The results are obtained using the exact code in this repo except translation matching part not released, which will align the embedding on the umap since there will be a gap although the similarity is pretty good. I am working on end-to-end version. Stay tuned.
using the default paramters except setting backed=True and make it take effect, after train 30000 steps/44 epochs, is the output below is ok? :
loss=4.29, v_num=, acc/val=0.0273, matchscore/val=0.0262, foscttm/val=0.0823, loss/val=4.610, acc/train=0.0349, matchscore/train=0.0345, foscttm/train=0.0505, loss/train=4.300
the code make backed take effected:
dm = MixDataModule(
data_dir=args.data_dir,
modality=args.mod,
batch_size=args.batch_size,
linked=args.dist,
split=args.split,
n_top_genes=args.n_top_genes,
binary=args.binary,
use_seq=args.use_seq,
mask=args.mask,
backed=args.backed,
num_workers=args.num_workers,
eval_batch_size=args.eval_batch_size
)
as the title, if i use the fetal dataset