/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 changing lr ---------------------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