README.md

Model Weights and Configurations

Model	#param.	Top-1 Acc.	Config	Log
FastVim-T.ckpt	7M	75.4	FastVimT.yaml	FastVimT.csv
FastVim-S.ckpt	26M	81.1	FastVimS.yaml	FastVimS.csv
FastVim-B.ckpt	98M	82.6	FastVimB.yaml	FastVimB.csv
Vim-B w/ LN.ckpt	98M	82.6	VimB.yaml	VimB.csv

Notes:

• For reproducibility, make sure overall batch size remains 1024 across GPUs/Nodes.
• trainer/global_step in log files refers to gradient steps with batch size 1024.
• Modify imagenet_train_dir_path and imagenet_val_dir_path flags in datasets_supervised.py code.