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w7.sh
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python train.py --data_dir /home/vnfmadl97/data/processed/data --logdir ../../model/v25/tube/b4-fold0 --fold 0 --batch_size 20 --lr 4e-4 --epochs 15 --encoder timm-efficientnet-b4 --resolution 2048 --num_workers 60 --seg_pretrain 1 --seed 40
python train.py --data_dir /home/vnfmadl97/data/processed/data --logdir ../../model/v25/tube/b4-fold1 --fold 1 --batch_size 20 --lr 4e-4 --epochs 15 --encoder timm-efficientnet-b4 --resolution 2048 --num_workers 60 --seg_pretrain 1 --seed 41
python train.py --data_dir /home/vnfmadl97/data/processed/data --logdir ../../model/v25/tube/b4-fold2 --fold 2 --batch_size 20 --lr 4e-4 --epochs 15 --encoder timm-efficientnet-b4 --resolution 2048 --num_workers 60 --seg_pretrain 1 --seed 42
python train.py --data_dir /home/vnfmadl97/data/processed/data --logdir ../../model/v25/tube/b4-fold3 --fold 3 --batch_size 20 --lr 4e-4 --epochs 15 --encoder timm-efficientnet-b4 --resolution 2048 --num_workers 60 --seg_pretrain 1 --seed 43
python train.py --data_dir /home/vnfmadl97/data/processed/data --logdir ../../model/v25/tube/b4-fold4 --fold 4 --batch_size 20 --lr 4e-4 --epochs 15 --encoder timm-efficientnet-b4 --resolution 2048 --num_workers 60 --seg_pretrain 1 --seed 44