scripts/imagenet/finetune2.sh

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#LEARNABLE
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/test.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
    --lr 0.0005 --epochs 30 --batch-size 256 --seed 0 --num-attention-heads 12 --lmc-layer-indices 0\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/finetune.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
    --lr 0.0005 --epochs 30 --batch-size 256 --seed 20 --num-attention-heads 12 --lmc-layer-indices 0\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/finetune.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
    --lr 0.0005 --epochs 30 --batch-size 256 --seed 40 --num-attention-heads 12 --lmc-layer-indices 0\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 

WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/finetune.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
    --lr 0.0005 --epochs 30 --batch-size 256 --seed 0 --num-attention-heads 8 --lmc-layer-indices 0\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/finetune.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
    --lr 0.0005 --epochs 30 --batch-size 256 --seed 20 --num-attention-heads 8 --lmc-layer-indices 0\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=3 python src/imagenet/finetune.py \
#     --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
#     --lr 0.0005 --epochs 30 --batch-size 256 --seed 40 --num-attention-heads 8 --lmc-layer-indices 0\
#     --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
#     --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 

# WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/imagenet/finetune.py \
#     --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
#     --lr 0.0005 --epochs 30 --batch-size 256 --seed 0 --num-attention-heads 16 --lmc-layer-indices 0\
#     --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
#     --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=3 python src/imagenet/finetune.py \
#     --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
#     --lr 0.0005 --epochs 30 --batch-size 256 --seed 20 --num-attention-heads 16 --lmc-layer-indices 0\
#     --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
#     --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
# WANDB_MODE=online CUDA_VISIBLE_DEVICES=5 python src/imagenet/finetune.py \
#     --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-learnable-epochs300-batch256-shared1-routed0-topk0/best_870696 \
#     --lr 0.0005 --epochs 30 --batch-size 256 --seed 40 --num-attention-heads 16 --lmc-layer-indices 0\
#     --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
#     --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 


=======
WANDB_MODE=online CUDA_VISIBLE_DEVICES=2 python src/imagenet/finetune.py \
    --model-path /mnt/data/vinhbk/weights/imagenet/lr0.0005-rope-epochs300-batch256-shared1-routed0-topk0/best_1266012 \
    --lr 0.0005 --epochs 100 --batch-size 256 --seed 20 --num-attention-heads 8 --lmc-layer-indices 0 1 2 3 4 5 6 7 8 9 10 11\
    --wandb-project LMC-Attention --wandb-group "ViT-ImageNet-FFN" --wandb-entity "vinh-bui0512-hcmut"\
    --data-path /mnt/data/vinhbk/datasets/imagenet --save-dir /mnt/data/vinhbk/weights/imagenet/vit-finetune 
>>>>>>> master