/home/yuqian_fu {'gpu': '0', 'data': 'sketch', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 5, 'factor_num': 16, 'epochs': 70, 'nbatch': 100, 'batchsize': 6, 'lr': 0.01, 'lr_scheduler': 'cosine', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//sketch/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_ReProduceMetaCausal', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'} stride: 5 /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/sketch_train.hdf5 torch.Size([3531, 3, 227, 227]) torch.Size([3531]) --------------------------CA_multiple-------------------------- ---------------------------16 factors----------------- randm: True randn: True n: 3 randm: False /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/sketch_val.hdf5 torch.Size([398, 3, 227, 227]) torch.Size([398]) -------------------------------------loading pretrain weights---------------------------------- 588 0.01 changing lr ---------------------saving model at epoch 0---------------------------------------------------- epoch 0, time 845.95, cls_loss 3.6738 cls_loss_mapping 1.1243 cls_loss_causal 1.4459 re_mapping 0.6948 re_causal 0.6950 /// teacc 87.69 lr 0.00999497 588 0.009994965332706574 changing lr ---------------------saving model at epoch 1---------------------------------------------------- epoch 1, time 854.64, cls_loss 0.5577 cls_loss_mapping 0.4581 cls_loss_causal 1.0021 re_mapping 0.2545 re_causal 0.2541 /// teacc 90.20 lr 0.00997987 588 0.009979871469976196 changing lr epoch 2, time 878.75, cls_loss 0.1988 cls_loss_mapping 0.2884 cls_loss_causal 0.8433 re_mapping 0.1588 re_causal 0.1584 /// teacc 89.70 lr 0.00995475 588 0.009954748808839675 changing lr ---------------------saving model at epoch 3---------------------------------------------------- epoch 3, time 892.14, cls_loss 0.1337 cls_loss_mapping 0.2165 cls_loss_causal 0.7708 re_mapping 0.1261 re_causal 0.1263 /// teacc 92.96 lr 0.00991965 588 0.009919647942993149 changing lr ---------------------saving model at epoch 4---------------------------------------------------- epoch 4, time 852.27, cls_loss 0.0720 cls_loss_mapping 0.1604 cls_loss_causal 0.6995 re_mapping 0.1031 re_causal 0.1040 /// teacc 93.22 lr 0.00987464 588 0.009874639560909117 changing lr ---------------------saving model at epoch 5---------------------------------------------------- epoch 5, time 847.00, cls_loss 0.0390 cls_loss_mapping 0.1253 cls_loss_causal 0.6512 re_mapping 0.0839 re_causal 0.0858 /// teacc 93.72 lr 0.00981981 588 0.009819814303479266 changing lr epoch 6, time 868.82, cls_loss 0.0280 cls_loss_mapping 0.1074 cls_loss_causal 0.6153 re_mapping 0.0698 re_causal 0.0724 /// teacc 92.46 lr 0.00975528 588 0.009755282581475767 changing lr ---------------------saving model at epoch 7---------------------------------------------------- epoch 7, time 845.22, cls_loss 0.0251 cls_loss_mapping 0.0936 cls_loss_causal 0.5946 re_mapping 0.0582 re_causal 0.0616 /// teacc 93.97 lr 0.00968117 588 0.009681174353198686 changing lr epoch 8, time 850.90, cls_loss 0.0209 cls_loss_mapping 0.0815 cls_loss_causal 0.5643 re_mapping 0.0500 re_causal 0.0549 /// teacc 92.71 lr 0.00959764 588 0.009597638862757255 changing lr ---------------------saving model at epoch 9---------------------------------------------------- epoch 9, time 861.45, cls_loss 0.0196 cls_loss_mapping 0.0758 cls_loss_causal 0.5799 re_mapping 0.0425 re_causal 0.0492 /// teacc 94.97 lr 0.00950484 588 0.009504844339512096 changing lr epoch 10, time 887.24, cls_loss 0.0124 cls_loss_mapping 0.0557 cls_loss_causal 0.5474 re_mapping 0.0349 re_causal 0.0424 /// teacc 94.22 lr 0.00940298 588 0.009402977659283692 changing lr epoch 11, time 860.82, cls_loss 0.0155 cls_loss_mapping 0.0521 cls_loss_causal 0.5327 re_mapping 0.0303 re_causal 0.0397 /// teacc 92.96 lr 0.00929224 588 0.009292243968009333 changing lr epoch 12, time 882.17, cls_loss 0.0122 cls_loss_mapping 0.0491 cls_loss_causal 0.5306 re_mapping 0.0254 re_causal 0.0353 /// teacc 92.46 lr 0.00917287 588 0.009172866268606516 changing lr epoch 13, time 886.31, cls_loss 0.0123 cls_loss_mapping 0.0488 cls_loss_causal 0.5114 re_mapping 0.0231 re_causal 0.0341 /// teacc 93.97 lr 0.00904508 588 0.00904508497187474 changing lr epoch 14, time 860.16, cls_loss 0.0097 cls_loss_mapping 0.0391 cls_loss_causal 0.5384 re_mapping 0.0201 re_causal 0.0320 /// teacc 94.47 lr 0.00890916 588 0.008909157412340152 changing lr epoch 15, time 851.33, cls_loss 0.0083 cls_loss_mapping 0.0374 cls_loss_causal 0.4965 re_mapping 0.0180 re_causal 0.0299 /// teacc 92.71 lr 0.00876536 588 0.00876535733001806 changing lr epoch 16, time 856.91, cls_loss 0.0087 cls_loss_mapping 0.0368 cls_loss_causal 0.4716 re_mapping 0.0163 re_causal 0.0278 /// teacc 91.96 lr 0.00861397 588 0.008613974319136962 changing lr epoch 17, time 881.17, cls_loss 0.0070 cls_loss_mapping 0.0307 cls_loss_causal 0.4890 re_mapping 0.0146 re_causal 0.0269 /// teacc 93.47 lr 0.00845531 588 0.008455313244934327 changing lr epoch 18, time 868.14, cls_loss 0.0060 cls_loss_mapping 0.0262 cls_loss_causal 0.4835 re_mapping 0.0132 re_causal 0.0256 /// teacc 93.47 lr 0.00828969 588 0.008289693629698565 changing lr epoch 19, time 883.13, cls_loss 0.0067 cls_loss_mapping 0.0258 cls_loss_causal 0.4667 re_mapping 0.0123 re_causal 0.0250 /// teacc 93.72 lr 0.00811745 588 0.00811744900929367 changing lr epoch 20, time 884.58, cls_loss 0.0064 cls_loss_mapping 0.0251 cls_loss_causal 0.4629 re_mapping 0.0117 re_causal 0.0239 /// teacc 94.72 lr 0.00793893 588 0.007938926261462368 changing lr epoch 21, time 875.05, cls_loss 0.0051 cls_loss_mapping 0.0202 cls_loss_causal 0.4715 re_mapping 0.0107 re_causal 0.0234 /// teacc 92.46 lr 0.00775448 588 0.007754484907260515 changing lr epoch 22, time 896.60, cls_loss 0.0054 cls_loss_mapping 0.0194 cls_loss_causal 0.4351 re_mapping 0.0099 re_causal 0.0214 /// teacc 94.97 lr 0.00756450 588 0.007564496387029534 changing lr epoch 23, time 860.93, cls_loss 0.0049 cls_loss_mapping 0.0175 cls_loss_causal 0.4279 re_mapping 0.0094 re_causal 0.0210 /// teacc 92.71 lr 0.00736934 588 0.007369343312364995 changing lr epoch 24, time 870.01, cls_loss 0.0046 cls_loss_mapping 0.0183 cls_loss_causal 0.4499 re_mapping 0.0094 re_causal 0.0216 /// teacc 94.22 lr 0.00716942 588 0.0071694186955877925 changing lr epoch 25, time 881.12, cls_loss 0.0059 cls_loss_mapping 0.0212 cls_loss_causal 0.4502 re_mapping 0.0092 re_causal 0.0210 /// teacc 94.22 lr 0.00696513 588 0.0069651251582696205 changing lr epoch 26, time 883.73, cls_loss 0.0052 cls_loss_mapping 0.0151 cls_loss_causal 0.4330 re_mapping 0.0088 re_causal 0.0207 /// teacc 94.47 lr 0.00675687 588 0.006756874120406716 changing lr epoch 27, time 876.67, cls_loss 0.0050 cls_loss_mapping 0.0183 cls_loss_causal 0.4334 re_mapping 0.0082 re_causal 0.0200 /// teacc 93.22 lr 0.00654508 588 0.00654508497187474 changing lr epoch 28, time 849.09, cls_loss 0.0067 cls_loss_mapping 0.0154 cls_loss_causal 0.4283 re_mapping 0.0084 re_causal 0.0204 /// teacc 93.47 lr 0.00633018 588 0.006330184227833378 changing lr epoch 29, time 851.32, cls_loss 0.0044 cls_loss_mapping 0.0147 cls_loss_causal 0.3901 re_mapping 0.0077 re_causal 0.0185 /// teacc 92.96 lr 0.00611260 588 0.006112604669781575 changing lr epoch 30, time 854.67, cls_loss 0.0034 cls_loss_mapping 0.0126 cls_loss_causal 0.4241 re_mapping 0.0076 re_causal 0.0193 /// teacc 93.72 lr 0.00589278 588 0.005892784473993186 changing lr epoch 31, time 861.52, cls_loss 0.0048 cls_loss_mapping 0.0151 cls_loss_causal 0.4106 re_mapping 0.0072 re_causal 0.0186 /// teacc 93.22 lr 0.00567117 588 0.00567116632908828 changing lr epoch 32, time 886.70, cls_loss 0.0034 cls_loss_mapping 0.0119 cls_loss_causal 0.4174 re_mapping 0.0070 re_causal 0.0183 /// teacc 93.72 lr 0.00544820 588 0.00544819654451717 changing lr epoch 33, time 865.62, cls_loss 0.0038 cls_loss_mapping 0.0111 cls_loss_causal 0.4096 re_mapping 0.0068 re_causal 0.0178 /// teacc 92.96 lr 0.00522432 588 0.005224324151752577 changing lr epoch 34, time 853.80, cls_loss 0.0039 cls_loss_mapping 0.0117 cls_loss_causal 0.4176 re_mapping 0.0066 re_causal 0.0176 /// teacc 93.22 lr 0.00500000 588 0.005000000000000003 changing lr epoch 35, time 873.63, cls_loss 0.0043 cls_loss_mapping 0.0126 cls_loss_causal 0.4324 re_mapping 0.0065 re_causal 0.0176 /// teacc 93.22 lr 0.00477568 588 0.004775675848247429 changing lr epoch 36, time 847.64, cls_loss 0.0035 cls_loss_mapping 0.0099 cls_loss_causal 0.4156 re_mapping 0.0062 re_causal 0.0166 /// teacc 93.72 lr 0.00455180 588 0.004551803455482836 changing lr epoch 37, time 821.88, cls_loss 0.0038 cls_loss_mapping 0.0099 cls_loss_causal 0.4130 re_mapping 0.0059 re_causal 0.0165 /// teacc 94.22 lr 0.00432883 588 0.004328833670911726 changing lr epoch 38, time 833.52, cls_loss 0.0039 cls_loss_mapping 0.0113 cls_loss_causal 0.3887 re_mapping 0.0059 re_causal 0.0166 /// teacc 94.97 lr 0.00410722 588 0.0041072155260068206 changing lr epoch 39, time 803.24, cls_loss 0.0032 cls_loss_mapping 0.0079 cls_loss_causal 0.4193 re_mapping 0.0058 re_causal 0.0165 /// teacc 94.72 lr 0.00388740 588 0.0038873953302184317 changing lr epoch 40, time 810.38, cls_loss 0.0034 cls_loss_mapping 0.0082 cls_loss_causal 0.3832 re_mapping 0.0056 re_causal 0.0154 /// teacc 93.47 lr 0.00366982 588 0.003669815772166629 changing lr epoch 41, time 798.30, cls_loss 0.0038 cls_loss_mapping 0.0093 cls_loss_causal 0.3853 re_mapping 0.0054 re_causal 0.0152 /// teacc 93.72 lr 0.00345492 588 0.0034549150281252667 changing lr epoch 42, time 770.71, cls_loss 0.0038 cls_loss_mapping 0.0078 cls_loss_causal 0.4206 re_mapping 0.0052 re_causal 0.0155 /// teacc 93.22 lr 0.00324313 588 0.0032431258795932905 changing lr epoch 43, time 769.73, cls_loss 0.0032 cls_loss_mapping 0.0085 cls_loss_causal 0.3786 re_mapping 0.0052 re_causal 0.0147 /// teacc 94.22 lr 0.00303487 588 0.0030348748417303863 changing lr epoch 44, time 781.30, cls_loss 0.0030 cls_loss_mapping 0.0066 cls_loss_causal 0.3762 re_mapping 0.0052 re_causal 0.0141 /// teacc 92.96 lr 0.00283058 588 0.0028305813044122124 changing lr epoch 45, time 763.23, cls_loss 0.0028 cls_loss_mapping 0.0060 cls_loss_causal 0.3935 re_mapping 0.0050 re_causal 0.0143 /// teacc 93.97 lr 0.00263066 588 0.0026306566876350096 changing lr epoch 46, time 756.78, cls_loss 0.0030 cls_loss_mapping 0.0072 cls_loss_causal 0.3847 re_mapping 0.0049 re_causal 0.0141 /// teacc 94.47 lr 0.00243550 588 0.0024355036129704724 changing lr epoch 47, time 753.45, cls_loss 0.0027 cls_loss_mapping 0.0062 cls_loss_causal 0.3732 re_mapping 0.0048 re_causal 0.0134 /// teacc 93.72 lr 0.00224552 588 0.00224551509273949 changing lr epoch 48, time 753.93, cls_loss 0.0029 cls_loss_mapping 0.0050 cls_loss_causal 0.3621 re_mapping 0.0047 re_causal 0.0131 /// teacc 94.22 lr 0.00206107 588 0.002061073738537637 changing lr epoch 49, time 760.37, cls_loss 0.0028 cls_loss_mapping 0.0057 cls_loss_causal 0.3736 re_mapping 0.0048 re_causal 0.0132 /// teacc 93.47 lr 0.00188255 588 0.0018825509907063344 changing lr ---------------------saving model at epoch 50---------------------------------------------------- epoch 50, time 761.62, cls_loss 0.0025 cls_loss_mapping 0.0047 cls_loss_causal 0.3886 re_mapping 0.0047 re_causal 0.0133 /// teacc 95.48 lr 0.00171031 588 0.0017103063703014388 changing lr epoch 51, time 757.83, cls_loss 0.0026 cls_loss_mapping 0.0051 cls_loss_causal 0.3723 re_mapping 0.0047 re_causal 0.0131 /// teacc 92.21 lr 0.00154469 588 0.0015446867550656784 changing lr epoch 52, time 756.68, cls_loss 0.0027 cls_loss_mapping 0.0047 cls_loss_causal 0.3874 re_mapping 0.0046 re_causal 0.0131 /// teacc 92.71 lr 0.00138603 588 0.001386025680863044 changing lr epoch 53, time 758.80, cls_loss 0.0027 cls_loss_mapping 0.0049 cls_loss_causal 0.3915 re_mapping 0.0046 re_causal 0.0130 /// teacc 93.72 lr 0.00123464 588 0.0012346426699819469 changing lr epoch 54, time 754.88, cls_loss 0.0026 cls_loss_mapping 0.0049 cls_loss_causal 0.3825 re_mapping 0.0045 re_causal 0.0130 /// teacc 94.22 lr 0.00109084 588 0.0010908425876598518 changing lr epoch 55, time 758.50, cls_loss 0.0030 cls_loss_mapping 0.0050 cls_loss_causal 0.3839 re_mapping 0.0045 re_causal 0.0126 /// teacc 93.22 lr 0.00095492 588 0.000954915028125264 changing lr epoch 56, time 757.06, cls_loss 0.0025 cls_loss_mapping 0.0044 cls_loss_causal 0.3577 re_mapping 0.0045 re_causal 0.0122 /// teacc 94.22 lr 0.00082713 588 0.0008271337313934874 changing lr epoch 57, time 758.09, cls_loss 0.0023 cls_loss_mapping 0.0046 cls_loss_causal 0.3461 re_mapping 0.0046 re_causal 0.0118 /// teacc 93.47 lr 0.00070776 588 0.00070775603199067 changing lr epoch 58, time 760.13, cls_loss 0.0023 cls_loss_mapping 0.0039 cls_loss_causal 0.3523 re_mapping 0.0046 re_causal 0.0118 /// teacc 94.47 lr 0.00059702 588 0.0005970223407163104 changing lr epoch 59, time 756.85, cls_loss 0.0021 cls_loss_mapping 0.0035 cls_loss_causal 0.3762 re_mapping 0.0045 re_causal 0.0121 /// teacc 93.22 lr 0.00049516 588 0.0004951556604879052 changing lr epoch 60, time 754.41, cls_loss 0.0023 cls_loss_mapping 0.0041 cls_loss_causal 0.3579 re_mapping 0.0044 re_causal 0.0115 /// teacc 92.71 lr 0.00040236 588 0.00040236113724274745 changing lr epoch 61, time 758.79, cls_loss 0.0026 cls_loss_mapping 0.0042 cls_loss_causal 0.3682 re_mapping 0.0044 re_causal 0.0114 /// teacc 93.72 lr 0.00031883 588 0.00031882564680131423 changing lr epoch 62, time 752.52, cls_loss 0.0025 cls_loss_mapping 0.0039 cls_loss_causal 0.3746 re_mapping 0.0044 re_causal 0.0117 /// teacc 92.46 lr 0.00024472 588 0.0002447174185242325 changing lr epoch 63, time 758.14, cls_loss 0.0025 cls_loss_mapping 0.0034 cls_loss_causal 0.3751 re_mapping 0.0044 re_causal 0.0115 /// teacc 93.72 lr 0.00018019 588 0.0001801856965207339 changing lr epoch 64, time 751.51, cls_loss 0.0024 cls_loss_mapping 0.0034 cls_loss_causal 0.3590 re_mapping 0.0044 re_causal 0.0114 /// teacc 93.47 lr 0.00012536 588 0.000125360439090882 changing lr epoch 65, time 760.25, cls_loss 0.0030 cls_loss_mapping 0.0049 cls_loss_causal 0.3519 re_mapping 0.0044 re_causal 0.0112 /// teacc 93.97 lr 0.00008035 588 8.03520570068517e-05 changing lr epoch 66, time 759.68, cls_loss 0.0023 cls_loss_mapping 0.0036 cls_loss_causal 0.3571 re_mapping 0.0044 re_causal 0.0114 /// teacc 92.96 lr 0.00004525 588 4.5251191160326525e-05 changing lr epoch 67, time 758.83, cls_loss 0.0025 cls_loss_mapping 0.0043 cls_loss_causal 0.3541 re_mapping 0.0044 re_causal 0.0113 /// teacc 92.21 lr 0.00002013 588 2.0128530023804673e-05 changing lr epoch 68, time 755.82, cls_loss 0.0021 cls_loss_mapping 0.0032 cls_loss_causal 0.3385 re_mapping 0.0044 re_causal 0.0113 /// teacc 93.22 lr 0.00000503 588 5.034667293427056e-06 changing lr epoch 69, time 757.80, cls_loss 0.0027 cls_loss_mapping 0.0040 cls_loss_causal 0.3563 re_mapping 0.0044 re_causal 0.0113 /// teacc 93.22 lr 0.00000000 ---------------------saving last model at epoch 69---------------------------------------------------- /home/yuqian_fu {'gpu': '0', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//sketch/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_ReProduceMetaCausal', 'source_domain': 'sketch', 'svpath': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//sketch/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_ReProduceMetaCausal/sketch_16factor_last_test_check.csv', 'factor_num': 16, 'epoch': 'last', 'stride': 5, 'eval_mapping': False, 'network': 'resnet18'} -------------------------------------loading pretrain weights---------------------------------- loading weight of last randm: False stride: 5 loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last loading weight of last columns: ['sketch', 'art_painting', 'cartoon', 'photo'] /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/sketch_test.hdf5 torch.Size([3929, 3, 227, 227]) torch.Size([3929]) /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_test.hdf5 torch.Size([2048, 3, 227, 227]) torch.Size([2048]) /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/cartoon_test.hdf5 torch.Size([2344, 3, 227, 227]) torch.Size([2344]) /data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/photo_test.hdf5 torch.Size([1670, 3, 227, 227]) torch.Size([1670]) sketch art_painting cartoon photo Avg w/o do (original x) 99.312802 55.029297 67.491468 57.964072 60.161612 sketch art_painting cartoon photo Avg do 99.312802 49.804688 63.90785 55.449102 56.387213