Meta-causal/code-stage1-pipeline/56540.log

/home/yuqian_fu
{'gpu': '0', 'data': 'art_painting', 'ntr': None, 'translate': None, 'autoaug': 'CA_multiple', 'n': 3, 'stride': 5, 'factor_num': 16, 'epochs': 30, 'nbatch': 100, 'batchsize': 6, 'lr': 0.01, 'lr_scheduler': 'cosine', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep30_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_pipelineAugWoNorm', 'clsadapt': True, 'lambda_causal': 1.0, 'lambda_re': 1.0, 'randm': True, 'randn': True, 'network': 'resnet18'}
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_train.hdf5 torch.Size([1840, 3, 227, 227]) torch.Size([1840])
--------------------------CA_multiple--------------------------
---------------------------16 factors-----------------
randm: True
randn: True
n: 3
randm: False
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/art_painting_val.hdf5 torch.Size([208, 3, 227, 227]) torch.Size([208])
-------------------------------------loading pretrain weights----------------------------------
306
0.0001
changing lr
---------------------saving model at epoch 0----------------------------------------------------
epoch 0, time 328.72, cls_loss 8.5176
306
9.972609476841367e-05
changing lr
---------------------saving model at epoch 1----------------------------------------------------
epoch 1, time 323.89, cls_loss 4.1852
306
9.890738003669029e-05
changing lr
---------------------saving model at epoch 2----------------------------------------------------
epoch 2, time 321.19, cls_loss 1.7210
306
9.755282581475769e-05
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---------------------saving model at epoch 3----------------------------------------------------
epoch 3, time 321.77, cls_loss 0.8687
306
9.567727288213003e-05
changing lr
epoch 4, time 322.73, cls_loss 0.5508
306
9.330127018922194e-05
changing lr
epoch 5, time 321.65, cls_loss 0.4191
306
9.045084971874738e-05
changing lr
epoch 6, time 323.65, cls_loss 0.3904
306
8.715724127386972e-05
changing lr
---------------------saving model at epoch 7----------------------------------------------------
epoch 7, time 324.01, cls_loss 0.2998
306
8.345653031794292e-05
changing lr
epoch 8, time 327.47, cls_loss 0.2084
306
7.938926261462366e-05
changing lr
epoch 9, time 326.22, cls_loss 0.1815
306
7.500000000000001e-05
changing lr
epoch 10, time 325.03, cls_loss 0.1476
306
7.033683215379003e-05
changing lr
epoch 11, time 325.92, cls_loss 0.1094
306
6.545084971874738e-05
changing lr
---------------------saving model at epoch 12----------------------------------------------------
epoch 12, time 322.71, cls_loss 0.0653
306
6.039558454088797e-05
changing lr
epoch 13, time 321.20, cls_loss 0.0639
306
5.522642316338269e-05
changing lr
---------------------saving model at epoch 14----------------------------------------------------
epoch 14, time 322.13, cls_loss 0.0464
306
5.000000000000002e-05
changing lr
epoch 15, time 324.52, cls_loss 0.0402
306
4.4773576836617344e-05
changing lr
epoch 16, time 322.56, cls_loss 0.0452
306
3.9604415459112035e-05
changing lr
epoch 17, time 322.39, cls_loss 0.0403
306
3.4549150281252636e-05
changing lr
epoch 18, time 324.36, cls_loss 0.0190
306
2.966316784621e-05
changing lr
epoch 19, time 327.79, cls_loss 0.0250
306
2.5000000000000015e-05
changing lr
epoch 20, time 322.28, cls_loss 0.0416
306
2.0610737385376352e-05
changing lr
epoch 21, time 322.98, cls_loss 0.0203
306
1.654346968205711e-05
changing lr
---------------------saving model at epoch 22----------------------------------------------------
epoch 22, time 325.56, cls_loss 0.0271
306
1.2842758726130304e-05
changing lr
epoch 23, time 321.58, cls_loss 0.0190
306
9.549150281252636e-06
changing lr
epoch 24, time 327.21, cls_loss 0.0236
306
6.698729810778068e-06
changing lr
epoch 25, time 301.36, cls_loss 0.0107
306
4.322727117869953e-06
changing lr
epoch 26, time 295.79, cls_loss 0.0165
306
2.447174185242324e-06
changing lr
epoch 27, time 296.53, cls_loss 0.0218
306
1.092619963309716e-06
changing lr
epoch 28, time 297.90, cls_loss 0.0198
306
2.7390523158633003e-07
changing lr
epoch 29, time 299.73, cls_loss 0.0094
---------------------saving last model at epoch 29----------------------------------------------------
/home/yuqian_fu
{'gpu': '0', 'svroot': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep30_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_pipelineAugWoNorm', 'source_domain': 'art_painting', 'svpath': '/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS//art_painting/CA_multiple_16fa_v2_ep30_lr0.01_cosine_base0.01_bs6_lamCa_1_lamRe1_adt4_cls1_EW2_70_rmTrue_rnTrue_str5_pipelineAugWoNorm/art_painting_16factor_best_test_check.csv', 'factor_num': 16, 'epoch': 'best', 'stride': 5, 'eval_mapping': False, 'network': 'resnet18'}
-------------------------------------loading pretrain weights----------------------------------
loading weight of best
columns: ['art_painting', 'cartoon', 'photo', 'sketch']
/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])
/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/data/PACS/sketch_test.hdf5 torch.Size([3929, 3, 227, 227]) torch.Size([3929])
                     art_painting    cartoon      photo     sketch        Avg
w/o do (original x)     93.017578  53.412969  88.203593  45.838636  62.485066