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hyperparameter_tuning_experiments_list_can.py
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hyperparameter_tuning_experiments_list_can.py
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# Generated by hyperparameter_tuning_experiments_can.py. Changes will be overwritten.
hyperparameter_tuning_experiments_list_can = {
"ucihar": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"ucihhar": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"wisdm_ar": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"wisdm_at": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"myo": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"ninapro_db5_like_myo_noshift": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"normal_n12_l3_inter2_intra1_5,0,0,0_sine": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"normal_n12_l3_inter2_intra1_0,0.5,0,0_sine": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"normal_n12_l3_inter1_intra2_0,0,5,0_sine": {
"can": [('lr0.001_sb60_a0.001_b1.5_w0.3', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.001, 60, 0.001, 1.5, 0.3]), ('lr0.001_sb30_a0.0001_b1_w0.1', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 1 --loss_weight 0.1', [0.001, 30, 0.0001, 1, 0.1]), ('lr0.001_sb60_a0.001_b2.25_w0.5', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2.25 --loss_weight 0.5', [0.001, 60, 0.001, 2.25, 0.5]), ('lr0.0001_sb30_a0.0005_b2_w0.5', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.0005 --inv_beta 2 --loss_weight 0.5', [0.0001, 30, 0.0005, 2, 0.5]), ('lr0.001_sb30_a0.0001_b2.5_w0.3', '--base_lr 0.001 --train_source_batch_size 30 --inv_alpha 0.0001 --inv_beta 2.5 --loss_weight 0.3', [0.001, 30, 0.0001, 2.5, 0.3]), ('lr0.0001_sb30_a0.001_b1.5_w0.3', '--base_lr 0.0001 --train_source_batch_size 30 --inv_alpha 0.001 --inv_beta 1.5 --loss_weight 0.3', [0.0001, 30, 0.001, 1.5, 0.3]), ('lr0.0001_sb60_a0.001_b2_w0.1', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.001 --inv_beta 2 --loss_weight 0.1', [0.0001, 60, 0.001, 2, 0.1]), ('lr0.001_sb60_a0.0001_b2.25_w0.2', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0001 --inv_beta 2.25 --loss_weight 0.2', [0.001, 60, 0.0001, 2.25, 0.2]), ('lr0.001_sb60_a0.0005_b2.5_w0.1', '--base_lr 0.001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 2.5 --loss_weight 0.1', [0.001, 60, 0.0005, 2.5, 0.1]), ('lr0.0001_sb60_a0.0005_b1_w0.5', '--base_lr 0.0001 --train_source_batch_size 60 --inv_alpha 0.0005 --inv_beta 1 --loss_weight 0.5', [0.0001, 60, 0.0005, 1, 0.5])],
},
"normal_n12_l3_inter1_intra2_0,0,0,0.5_sine": {
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