| WANDB_MODE=online CUDA_VISIBLE_DEVICES=0 python src/imagenet/train_model.py \ | |
| --input-size 32 --data-set CIFAR10 --patch-size 4 --hidden-size 128 --num-hidden-layers 6 --warmup-epochs 5\ | |
| --num-attention-heads 4 --intermediate-size 512 --position-embeddings "learnable" --num-labels 10\ | |
| --lr 5e-3 --epochs 50 --batch-size 128 --seed 0 --num-shared-experts 1 --num-routed-experts 0 --topk 0\ | |
| --wandb-project "LMC-Attention" --wandb-group "ViT-CIFAR10-FFN" --wandb-entity "fpt-team"\ | |
| --save-dir /mnt/d/NCKH/weights/lmc/cifar10 --data-path /mnt/d/NCKH/datasets/cifar10 | |
| WANDB_MODE=online CUDA_VISIBLE_DEVICES=0 python src/imagenet/train_model.py \ | |
| --input-size 32 --data-set CIFAR10 --patch-size 4 --hidden-size 128 --num-hidden-layers 6 --warmup-epochs 5\ | |
| --num-attention-heads 4 --intermediate-size 512 --position-embeddings "learnable" --num-labels 10\ | |
| --lr 5e-4 --epochs 50 --batch-size 128 --seed 0 --num-shared-experts 1 --num-routed-experts 0 --topk 0\ | |
| --wandb-project "LMC-Attention" --wandb-group "ViT-CIFAR10-FFN" --wandb-entity "fpt-team"\ | |
| --save-dir /mnt/d/NCKH/weights/lmc/cifar10 --data-path /mnt/d/NCKH/datasets/cifar10 |