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train_script.sh
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train_script.sh
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# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_input64_mask0.5_five_classes_mass_calc_pathology \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.5 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset five_classes_mass_calc_pathology \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_input64_mask0.5_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.5 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset combined_datasets \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_large_patch16_input64_mask0.75_five_classes_mass_calc_pathology \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_large_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset five_classes_mass_calc_pathology \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_large_patch16_input64_mask0.75_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_large_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset combined_datasets \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_e500_input224_image_lesion_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 224 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset image_lesion_combined_datasets \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_e500_wd0.01_input224_image_lesion_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 800 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.01 \
# --partition 'batch' \
# --dataset image_lesion_combined_datasets \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_e500_blr1.5e-3_input224_image_lesion_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 64 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 800 \
# --warmup_epochs 40 \
# --blr 1.5e-3 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset image_lesion_combined_datasets \
# python submitit_pretrain.py \
# --job_dir jobdir/vit_base_patch16_e500_input224_aug_combined_datasets \
# --ngpus 4 \
# --nodes 1 \
# --timeout 17280 \
# --batch_size 128 \
# --model mae_vit_base_patch16 \
# --input_size 224 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --partition 'batch' \
# --dataset aug_combined_datasets \
# python -m torch.distributed.launch --master_port=6667 --nproc_per_node=4 main_pretrain.py \
# --output_dir jobdir/vit_base_patch16_input224_b64_combined_datasets \
# --log_dir jobdir/vit_base_patch16_input224_b64_combined_datasets \
# --num_workers 16\
# --batch_size 64 \
# --model mae_vit_base_patch16 \
# --input_size 224 \
# --norm_pix_loss \
# --mask_ratio 0.75 \
# --epochs 500 \
# --warmup_epochs 40 \
# --blr 1.5e-4 --weight_decay 0.05 \
# --dataset combined_datasets \
python -m torch.distributed.launch --master_port=6667 --nproc_per_node=4 main_pretrain.py \
--output_dir jobdir/nomaskboth_visualize_vit_base_patch16_input112_combined_datasets \
--log_dir jobdir/nomaskboth_visualize_vit_base_patch16_input112_combined_datasets \
--num_workers 10\
--batch_size 256 \
--model mae_vit_base_patch16 \
--input_size 112 \
--mask_ratio 0.75 \
--epochs 500 \
--warmup_epochs 40 \
--blr 1.5e-4 --weight_decay 0.05 \
--dataset combined_datasets \