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a20151e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | WANDB_MODE=online CUDA_VISIBLE_DEVICES=4 python src/imagenet/train_model.py \
--lr 0.0005 --epochs 300 --batch-size 256 --seed 0 --position-embeddings "learnable"\
--num-shared-experts 0 --num-routed-experts 4 --topk 4\
--wandb-project "LMC-Attention" --wandb-group "ViT-ImageNet-MoE" --wandb-entity "vinh-bui0512-hcmut"\
--save-dir /mnt/data/vinhbk/weights/imagenet --data-path /mnt/data/vinhbk/datasets/imagenet
WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/imagenet/train_model.py \
--lr 0.0005 --epochs 300 --batch-size 256 --seed 0 --position-embeddings "rope"\
--num-shared-experts 0 --num-routed-experts 4 --topk 4\
--wandb-project "LMC-Attention" --wandb-group "ViT-ImageNet-MoE" --wandb-entity "vinh-bui0512-hcmut"\
--save-dir /mnt/data/vinhbk/weights/imagenet --data-path /mnt/data/vinhbk/datasets/imagenet
WANDB_MODE=online CUDA_VISIBLE_DEVICES=3 python src/imagenet/train_model.py \
--lr 0.0005 --epochs 300 --batch-size 256 --seed 0 --position-embeddings "rope"\
--num-shared-experts 1 --num-routed-experts 0 --topk 0\
--wandb-project "LMC-Attention" --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
--save-dir /mnt/data/vinhbk/weights/imagenet --data-path /mnt/data/vinhbk/datasets/imagenet
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=2,3 python src/imagenet/train_model.py \
# --lr 0.0005 --epochs 300 --batch-size 256 \
# --seed 0 --position-embeddings "sinusoidal"\
# --wandb-project "LMC-Attention" --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
# --save-dir /mnt/data/vinhbk/weights/imagenet --data-path /mnt/data/vinhbk/datasets/imagenet\
# --restore-checkpoint-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-sinusoidal-epochs300-batch256/last_1170936
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=4,5 python src/imagenet/train_model.py \
# --lr 0.0005 --epochs 300 --batch-size 256 --seed 0 --position-embeddings "rope"\
# --wandb-project "LMC-Attention" --wandb-group "ViT-ImageNet-MoE" --wandb-entity "vinh-bui0512-hcmut"\
# --save-dir /mnt/data/vinhbk/weights/imagenet --data-path /mnt/data/vinhbk/datasets/imagenet \
# --restore-checkpoint-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-rope-epochs300-batch256/last_300240
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