调参

  1. python GMVAE/train_GMVAE_VAL.py --data_path=/root/autodl-tmp/data/OCT_all/GAMMA --dataset=GAMMA --batch_size=32 --save_interval=5 --model_name=GAMMA_GMVAE --in_channels=1 --nepoch=60 --lr=1e-4 --weight_decay=1e-2

python3 experiments/train_flows/train_sup_val.py --dataset=GAMMA --data_path=/root/autodl-tmp/data/OCT_all/GAMMA --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=3 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/GAMMA_GMVAE_best_model.pt --weight_decay=1e-2

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=GAMMA --data_path=/root/autodl-tmp/data/OCT_all/GAMMA --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=25 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=3 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/GAMMA_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt --weight_decay=1e-2

  1. python3 experiments/train_flows/train_sup_val.py --dataset=DukeiAMD --data_path=/root/autodl-tmp/data/OCT_all/Duke_iAMD --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/DukeiAMD_GMVAE_best_model.pt

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=DukeiAMD --data_path=/root/autodl-tmp/data/OCT_all/Duke_iAMD --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/DukeiAMD_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

  1. python3 experiments/train_flows/train_sup_val.py --dataset=HarvardGlaucoma --data_path=/root/autodl-tmp/data/OCT_all/Harvard_Glaucoma --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/Harvard_Glaucoma_GMVAE_best_model.pt

python3 experiments/train_flows/train_sup_val.py --dataset=HarvardGlaucoma --data_path=/root/autodl-tmp/data/OCT_all/Harvard_Glaucoma --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=30 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/Harvard_Glaucoma_GMVAE_best_model.pt --weight_decay=1e-2

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=HarvardGlaucoma --data_path=/root/autodl-tmp/data/OCT_all/Harvard_Glaucoma --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/Harvard_Glaucoma_GMVAE_best_model.pt --weight_decay=1e-2 --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

  1. python3 experiments/train_flows/train_sup_val.py --dataset=NoorEyeHospital --data_path=/root/autodl-tmp/data/OCT_all/Noor_Eye_Hospital --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=3 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/Noor_Eye_Hospital_GMVAE_best_model.pt

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=NoorEyeHospital --data_path=/root/autodl-tmp/data/OCT_all/Noor_Eye_Hospital --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=3 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/Noor_Eye_Hospital_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

  1. python3 experiments/train_flows/train_sup_val.py --dataset=OCTDL --data_path=/root/autodl-tmp/data/OCT_all/OCTDL --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=15 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=7 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OCTDL_GMVAE_best_model.pt

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=OCTDL --data_path=/root/autodl-tmp/data/OCT_all/OCTDL --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=7 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OCTDL_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

  1. python3 experiments/train_flows/train_sup_val.py --dataset=OCTID --data_path=/root/autodl-tmp/data/OCT_all/OCTID --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=5 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OCTID_GMVAE_best_model.pt

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=OCTID --data_path=/root/autodl-tmp/data/OCT_all/OCTID --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=25 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=5 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OCTID_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

  1. python3 experiments/train_flows/train_sup_val.py --dataset=OLIVES --data_path=/root/autodl-tmp/data/OCT_all/OLIVES --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OLIVES_GMVAE_best_model.pt

python3 experiments/train_flows/encrypt_train_sup_val.py --dataset=OLIVES --data_path=/root/autodl-tmp/data/OCT_all/OLIVES --logdir=/root/autodl-tmp/flowgmm/logs --ckptdir=/root/autodl-tmp/flowgmm/checkpoints --save_freq=5 --num_epochs=20 --lr=1e-4 --eval_freq=1 --batch_size=16 --flow=Glow --in_channels=1 --num_classes=2 --load_GMVAE_model=/root/autodl-tmp/GMVAE_flowGMM/Models/Best_Model/OLIVES_GMVAE_best_model.pt --resume=/root/autodl-tmp/flowgmm/checkpoints/best.pt

posted @ 2025-08-23 23:22  zzzzzzz286972  阅读(8)  评论(0)    收藏  举报