Meta-causal/code/56721.log

/home/yuqian_fu
{'gpu': '0', 'data': 'photo', '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//photo/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/photo_train.hdf5 torch.Size([1499, 3, 227, 227]) torch.Size([1499])
--------------------------CA_multiple--------------------------
---------------------------16 factors-----------------
randm: True
randn: True
n: 3
randm: False
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/photo_val.hdf5 torch.Size([171, 3, 227, 227]) torch.Size([171])
-------------------------------------loading pretrain weights----------------------------------
249
0.01
changing lr
---------------------saving model at epoch 0----------------------------------------------------
epoch 0, time 330.26, cls_loss 2.1901 cls_loss_mapping 1.0966 cls_loss_causal 1.5411 re_mapping 1.2660 re_causal 1.2689 /// teacc 95.32 lr 0.00999497
249
0.009994965332706574
changing lr
epoch 1, time 329.57, cls_loss 1.1155 cls_loss_mapping 0.7787 cls_loss_causal 1.4901 re_mapping 0.9558 re_causal 0.9646 /// teacc 93.57 lr 0.00997987
249
0.009979871469976196
changing lr
epoch 2, time 330.39, cls_loss 0.9288 cls_loss_mapping 0.7032 cls_loss_causal 1.4747 re_mapping 0.7723 re_causal 0.7847 /// teacc 75.44 lr 0.00995475
249
0.009954748808839675
changing lr
epoch 3, time 328.90, cls_loss 1.2627 cls_loss_mapping 0.6321 cls_loss_causal 1.5390 re_mapping 0.6502 re_causal 0.6690 /// teacc 85.96 lr 0.00991965
249
0.009919647942993149
changing lr
epoch 4, time 327.35, cls_loss 0.9500 cls_loss_mapping 0.7241 cls_loss_causal 1.5912 re_mapping 0.6164 re_causal 0.6345 /// teacc 93.57 lr 0.00987464
249
0.009874639560909117
changing lr
epoch 5, time 326.62, cls_loss 1.4824 cls_loss_mapping 0.9000 cls_loss_causal 1.6461 re_mapping 0.5127 re_causal 0.5278 /// teacc 79.53 lr 0.00981981
249
0.009819814303479266
changing lr
epoch 6, time 329.86, cls_loss 0.5391 cls_loss_mapping 0.6994 cls_loss_causal 1.5297 re_mapping 0.4445 re_causal 0.4580 /// teacc 91.23 lr 0.00975528
249
0.009755282581475767
changing lr
epoch 7, time 326.96, cls_loss 0.4282 cls_loss_mapping 0.7985 cls_loss_causal 1.5762 re_mapping 0.4031 re_causal 0.4239 /// teacc 90.06 lr 0.00968117
249
0.009681174353198686
changing lr
epoch 8, time 324.18, cls_loss 0.4582 cls_loss_mapping 0.6437 cls_loss_causal 1.4929 re_mapping 0.3704 re_causal 0.4016 /// teacc 92.40 lr 0.00959764
249
0.009597638862757255
changing lr
epoch 9, time 329.22, cls_loss 0.4196 cls_loss_mapping 0.6434 cls_loss_causal 1.5206 re_mapping 0.3366 re_causal 0.3732 /// teacc 91.23 lr 0.00950484
249
0.009504844339512096
changing lr
epoch 10, time 326.22, cls_loss 0.6899 cls_loss_mapping 0.6931 cls_loss_causal 1.4531 re_mapping 0.3138 re_causal 0.3465 /// teacc 91.81 lr 0.00940298
249
0.009402977659283692
changing lr
epoch 11, time 332.53, cls_loss 0.2100 cls_loss_mapping 0.5305 cls_loss_causal 1.2812 re_mapping 0.2652 re_causal 0.3015 /// teacc 94.15 lr 0.00929224
249
0.009292243968009333
changing lr
epoch 12, time 328.24, cls_loss 1.9157 cls_loss_mapping 1.1807 cls_loss_causal 1.8542 re_mapping 0.2875 re_causal 0.3153 /// teacc 81.29 lr 0.00917287
249
0.009172866268606516
changing lr
epoch 13, time 330.89, cls_loss 0.5559 cls_loss_mapping 0.9412 cls_loss_causal 1.5863 re_mapping 0.2804 re_causal 0.3010 /// teacc 88.30 lr 0.00904508
249
0.00904508497187474
changing lr
epoch 14, time 327.08, cls_loss 0.2945 cls_loss_mapping 0.7027 cls_loss_causal 1.4399 re_mapping 0.2493 re_causal 0.2637 /// teacc 89.47 lr 0.00890916
249
0.008909157412340152
changing lr
epoch 15, time 327.50, cls_loss 0.1556 cls_loss_mapping 0.5735 cls_loss_causal 1.3348 re_mapping 0.2367 re_causal 0.2499 /// teacc 90.64 lr 0.00876536
249
0.00876535733001806
changing lr
epoch 16, time 325.93, cls_loss 0.5865 cls_loss_mapping 0.6469 cls_loss_causal 1.4535 re_mapping 0.2249 re_causal 0.2442 /// teacc 83.63 lr 0.00861397
249
0.008613974319136962
changing lr
epoch 17, time 325.67, cls_loss 0.2541 cls_loss_mapping 0.5530 cls_loss_causal 1.3152 re_mapping 0.1981 re_causal 0.2108 /// teacc 90.64 lr 0.00845531
249
0.008455313244934327
changing lr
epoch 18, time 328.07, cls_loss 0.1021 cls_loss_mapping 0.4746 cls_loss_causal 1.2840 re_mapping 0.1724 re_causal 0.1940 /// teacc 91.81 lr 0.00828969
249
0.008289693629698565
changing lr
epoch 19, time 327.66, cls_loss 0.2583 cls_loss_mapping 0.4658 cls_loss_causal 1.3477 re_mapping 0.1511 re_causal 0.1725 /// teacc 85.38 lr 0.00811745
249
0.00811744900929367
changing lr
epoch 20, time 330.32, cls_loss 0.2436 cls_loss_mapping 0.4640 cls_loss_causal 1.2885 re_mapping 0.1358 re_causal 0.1612 /// teacc 89.47 lr 0.00793893
249
0.007938926261462368
changing lr
epoch 21, time 327.13, cls_loss 0.0809 cls_loss_mapping 0.3624 cls_loss_causal 1.1645 re_mapping 0.1276 re_causal 0.1497 /// teacc 92.40 lr 0.00775448
249
0.007754484907260515
changing lr
---------------------saving model at epoch 22----------------------------------------------------
epoch 22, time 327.51, cls_loss 0.0782 cls_loss_mapping 0.2983 cls_loss_causal 1.0244 re_mapping 0.1161 re_causal 0.1302 /// teacc 95.91 lr 0.00756450
249
0.007564496387029534
changing lr
epoch 23, time 328.44, cls_loss 0.0508 cls_loss_mapping 0.2665 cls_loss_causal 1.0062 re_mapping 0.1035 re_causal 0.1238 /// teacc 92.40 lr 0.00736934
249
0.007369343312364995
changing lr
epoch 24, time 326.85, cls_loss 0.0439 cls_loss_mapping 0.2489 cls_loss_causal 0.9377 re_mapping 0.0935 re_causal 0.1083 /// teacc 93.57 lr 0.00716942
249
0.0071694186955877925
changing lr
epoch 25, time 328.40, cls_loss 0.0447 cls_loss_mapping 0.2510 cls_loss_causal 0.9697 re_mapping 0.0891 re_causal 0.1042 /// teacc 95.32 lr 0.00696513
249
0.0069651251582696205
changing lr
epoch 26, time 326.49, cls_loss 0.0183 cls_loss_mapping 0.2090 cls_loss_causal 0.9070 re_mapping 0.0889 re_causal 0.1054 /// teacc 94.15 lr 0.00675687
249
0.006756874120406716
changing lr
epoch 27, time 329.18, cls_loss 0.0199 cls_loss_mapping 0.2252 cls_loss_causal 0.9563 re_mapping 0.0849 re_causal 0.1040 /// teacc 92.40 lr 0.00654508
249
0.00654508497187474
changing lr
epoch 28, time 331.00, cls_loss 0.0349 cls_loss_mapping 0.1811 cls_loss_causal 0.8829 re_mapping 0.0737 re_causal 0.0947 /// teacc 94.15 lr 0.00633018
249
0.006330184227833378
changing lr
epoch 29, time 330.93, cls_loss 0.0173 cls_loss_mapping 0.1582 cls_loss_causal 0.8307 re_mapping 0.0685 re_causal 0.0870 /// teacc 95.91 lr 0.00611260
249
0.006112604669781575
changing lr
---------------------saving model at epoch 30----------------------------------------------------
epoch 30, time 333.04, cls_loss 0.0136 cls_loss_mapping 0.1520 cls_loss_causal 0.8025 re_mapping 0.0632 re_causal 0.0809 /// teacc 97.08 lr 0.00589278
249
0.005892784473993186
changing lr
epoch 31, time 328.71, cls_loss 0.0093 cls_loss_mapping 0.1464 cls_loss_causal 0.7705 re_mapping 0.0664 re_causal 0.0860 /// teacc 95.32 lr 0.00567117
249
0.00567116632908828
changing lr
epoch 32, time 331.65, cls_loss 0.0048 cls_loss_mapping 0.1322 cls_loss_causal 0.7072 re_mapping 0.0552 re_causal 0.0736 /// teacc 95.32 lr 0.00544820
249
0.00544819654451717
changing lr
---------------------saving model at epoch 33----------------------------------------------------
epoch 33, time 331.93, cls_loss 0.0196 cls_loss_mapping 0.1406 cls_loss_causal 0.7016 re_mapping 0.0551 re_causal 0.0790 /// teacc 97.66 lr 0.00522432
249
0.005224324151752577
changing lr
epoch 34, time 326.51, cls_loss 0.0110 cls_loss_mapping 0.1272 cls_loss_causal 0.7379 re_mapping 0.0532 re_causal 0.0753 /// teacc 95.91 lr 0.00500000
249
0.005000000000000003
changing lr
epoch 35, time 326.79, cls_loss 0.0039 cls_loss_mapping 0.1204 cls_loss_causal 0.7016 re_mapping 0.0500 re_causal 0.0750 /// teacc 96.49 lr 0.00477568
249
0.004775675848247429
changing lr
epoch 36, time 328.75, cls_loss 0.0098 cls_loss_mapping 0.1122 cls_loss_causal 0.6372 re_mapping 0.0458 re_causal 0.0661 /// teacc 95.32 lr 0.00455180
249
0.004551803455482836
changing lr
epoch 37, time 333.82, cls_loss 0.0088 cls_loss_mapping 0.1083 cls_loss_causal 0.6648 re_mapping 0.0459 re_causal 0.0701 /// teacc 95.91 lr 0.00432883
249
0.004328833670911726
changing lr
epoch 38, time 328.36, cls_loss 0.0111 cls_loss_mapping 0.1082 cls_loss_causal 0.6774 re_mapping 0.0479 re_causal 0.0716 /// teacc 94.74 lr 0.00410722
249
0.0041072155260068206
changing lr
epoch 39, time 329.81, cls_loss 0.0019 cls_loss_mapping 0.0890 cls_loss_causal 0.6447 re_mapping 0.0461 re_causal 0.0699 /// teacc 95.32 lr 0.00388740
249
0.0038873953302184317
changing lr
epoch 40, time 329.55, cls_loss 0.0031 cls_loss_mapping 0.0853 cls_loss_causal 0.5882 re_mapping 0.0445 re_causal 0.0632 /// teacc 94.74 lr 0.00366982
249
0.003669815772166629
changing lr
epoch 41, time 330.31, cls_loss 0.0050 cls_loss_mapping 0.0811 cls_loss_causal 0.5662 re_mapping 0.0384 re_causal 0.0568 /// teacc 95.32 lr 0.00345492
249
0.0034549150281252667
changing lr
epoch 42, time 333.18, cls_loss 0.0062 cls_loss_mapping 0.0839 cls_loss_causal 0.6104 re_mapping 0.0375 re_causal 0.0582 /// teacc 95.91 lr 0.00324313
249
0.0032431258795932905
changing lr
epoch 43, time 329.10, cls_loss 0.0014 cls_loss_mapping 0.0792 cls_loss_causal 0.5998 re_mapping 0.0385 re_causal 0.0578 /// teacc 96.49 lr 0.00303487
249
0.0030348748417303863
changing lr
epoch 44, time 327.44, cls_loss 0.0038 cls_loss_mapping 0.0816 cls_loss_causal 0.5993 re_mapping 0.0363 re_causal 0.0564 /// teacc 96.49 lr 0.00283058
249
0.0028305813044122124
changing lr
epoch 45, time 328.69, cls_loss 0.0064 cls_loss_mapping 0.0724 cls_loss_causal 0.5434 re_mapping 0.0350 re_causal 0.0566 /// teacc 97.08 lr 0.00263066
249
0.0026306566876350096
changing lr
epoch 46, time 329.11, cls_loss 0.0036 cls_loss_mapping 0.0732 cls_loss_causal 0.6550 re_mapping 0.0336 re_causal 0.0560 /// teacc 97.66 lr 0.00243550
249
0.0024355036129704724
changing lr
epoch 47, time 330.95, cls_loss 0.0028 cls_loss_mapping 0.0696 cls_loss_causal 0.5213 re_mapping 0.0347 re_causal 0.0540 /// teacc 95.32 lr 0.00224552
249
0.00224551509273949
changing lr
epoch 48, time 329.49, cls_loss 0.0022 cls_loss_mapping 0.0614 cls_loss_causal 0.5186 re_mapping 0.0319 re_causal 0.0531 /// teacc 97.08 lr 0.00206107
249
0.002061073738537637
changing lr
epoch 49, time 327.39, cls_loss 0.0030 cls_loss_mapping 0.0631 cls_loss_causal 0.5368 re_mapping 0.0315 re_causal 0.0477 /// teacc 97.08 lr 0.00188255
249
0.0018825509907063344
changing lr
epoch 50, time 330.68, cls_loss 0.0025 cls_loss_mapping 0.0624 cls_loss_causal 0.5418 re_mapping 0.0308 re_causal 0.0501 /// teacc 95.91 lr 0.00171031
249
0.0017103063703014388
changing lr
epoch 51, time 331.11, cls_loss 0.0024 cls_loss_mapping 0.0666 cls_loss_causal 0.6219 re_mapping 0.0303 re_causal 0.0463 /// teacc 94.15 lr 0.00154469
249
0.0015446867550656784
changing lr
epoch 52, time 329.80, cls_loss 0.0037 cls_loss_mapping 0.0624 cls_loss_causal 0.5204 re_mapping 0.0305 re_causal 0.0459 /// teacc 95.91 lr 0.00138603
249
0.001386025680863044
changing lr
epoch 53, time 330.30, cls_loss 0.0021 cls_loss_mapping 0.0573 cls_loss_causal 0.4976 re_mapping 0.0330 re_causal 0.0522 /// teacc 96.49 lr 0.00123464
249
0.0012346426699819469
changing lr
epoch 54, time 328.15, cls_loss 0.0037 cls_loss_mapping 0.0636 cls_loss_causal 0.5476 re_mapping 0.0300 re_causal 0.0478 /// teacc 94.74 lr 0.00109084
249
0.0010908425876598518
changing lr
epoch 55, time 330.82, cls_loss 0.0019 cls_loss_mapping 0.0573 cls_loss_causal 0.4965 re_mapping 0.0298 re_causal 0.0464 /// teacc 94.74 lr 0.00095492
249
0.000954915028125264
changing lr
epoch 56, time 327.34, cls_loss 0.0026 cls_loss_mapping 0.0569 cls_loss_causal 0.5251 re_mapping 0.0303 re_causal 0.0466 /// teacc 95.91 lr 0.00082713
249
0.0008271337313934874
changing lr
epoch 57, time 333.58, cls_loss 0.0042 cls_loss_mapping 0.0546 cls_loss_causal 0.5309 re_mapping 0.0287 re_causal 0.0428 /// teacc 95.32 lr 0.00070776
249
0.00070775603199067
changing lr
epoch 58, time 328.86, cls_loss 0.0031 cls_loss_mapping 0.0587 cls_loss_causal 0.5149 re_mapping 0.0288 re_causal 0.0456 /// teacc 96.49 lr 0.00059702
249
0.0005970223407163104
changing lr
epoch 59, time 328.86, cls_loss 0.0046 cls_loss_mapping 0.0559 cls_loss_causal 0.5242 re_mapping 0.0292 re_causal 0.0461 /// teacc 95.32 lr 0.00049516
249
0.0004951556604879052
changing lr
epoch 60, time 329.33, cls_loss 0.0035 cls_loss_mapping 0.0531 cls_loss_causal 0.5105 re_mapping 0.0286 re_causal 0.0415 /// teacc 94.74 lr 0.00040236
249
0.00040236113724274745
changing lr
epoch 61, time 329.57, cls_loss 0.0024 cls_loss_mapping 0.0552 cls_loss_causal 0.5395 re_mapping 0.0269 re_causal 0.0440 /// teacc 95.91 lr 0.00031883
249
0.00031882564680131423
changing lr
epoch 62, time 333.79, cls_loss 0.0025 cls_loss_mapping 0.0505 cls_loss_causal 0.5307 re_mapping 0.0257 re_causal 0.0430 /// teacc 95.32 lr 0.00024472
249
0.0002447174185242325
changing lr
epoch 63, time 325.49, cls_loss 0.0033 cls_loss_mapping 0.0561 cls_loss_causal 0.5009 re_mapping 0.0285 re_causal 0.0429 /// teacc 96.49 lr 0.00018019
249
0.0001801856965207339
changing lr
epoch 64, time 325.60, cls_loss 0.0020 cls_loss_mapping 0.0478 cls_loss_causal 0.5195 re_mapping 0.0274 re_causal 0.0416 /// teacc 95.32 lr 0.00012536
249
0.000125360439090882
changing lr
epoch 65, time 329.45, cls_loss 0.0022 cls_loss_mapping 0.0502 cls_loss_causal 0.4924 re_mapping 0.0274 re_causal 0.0425 /// teacc 94.15 lr 0.00008035
249
8.03520570068517e-05
changing lr
epoch 66, time 331.82, cls_loss 0.0036 cls_loss_mapping 0.0536 cls_loss_causal 0.5226 re_mapping 0.0276 re_causal 0.0429 /// teacc 95.91 lr 0.00004525
249
4.5251191160326525e-05
changing lr
epoch 67, time 328.42, cls_loss 0.0030 cls_loss_mapping 0.0563 cls_loss_causal 0.5390 re_mapping 0.0282 re_causal 0.0435 /// teacc 95.32 lr 0.00002013
249
2.0128530023804673e-05
changing lr
epoch 68, time 331.35, cls_loss 0.0034 cls_loss_mapping 0.0501 cls_loss_causal 0.5100 re_mapping 0.0269 re_causal 0.0424 /// teacc 95.32 lr 0.00000503
249
5.034667293427056e-06
changing lr
epoch 69, time 332.59, cls_loss 0.0023 cls_loss_mapping 0.0540 cls_loss_causal 0.5166 re_mapping 0.0279 re_causal 0.0451 /// teacc 97.08 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//photo/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_ReProduceMetaCausal', 'source_domain': 'photo', 'svpath': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//photo/CA_multiple_16fa_v2_ep70_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_ReProduceMetaCausal/photo_16factor_last_test_check.csv', 'factor_num': 16, 'epoch': 'last', 'stride': 5, 'eval_mapping': False, 'network': 'resnet18'}
-------------------------------------loading pretrain weights----------------------------------
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randm: False
stride: 5
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columns: ['photo', 'art_painting', 'cartoon', 'sketch']
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/photo_test.hdf5 torch.Size([1670, 3, 227, 227]) torch.Size([1670])
/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/sketch_test.hdf5 torch.Size([3929, 3, 227, 227]) torch.Size([3929])
                         photo  art_painting    cartoon     sketch        Avg
w/o do (original x)  99.700599     60.253906  43.515358  57.724612  53.831292
        photo  art_painting    cartoon    sketch        Avg
do  99.760479      60.15625  49.274744  60.57521  56.668735