lunwen_ccfc_cifar10_fed_train.log

nohup: ignoring input
cuda:0
Namespace(batch_size=1500, data_root='./datasets', exp_dir='./save/CCFC', global_lr=1, image_size=224, k=10, latent_dim=256, lbd=0.01, lr=0.0005, mini_bs=125, n_clients=40, num_proj_layers=2, num_workers=6, p=0.0, pre_hidden_dim=64, proj_hidden_dim=512, resnet='ResNet18', seed=66, test_image_size=256, trial='v4')
Global  NMI = 0.0574 ARI = 0.0214 F = 0.1854 ACC = 0.1675
backbone.conv1.weight 9408 torch.Size([64, 3, 7, 7])
backbone.bn1.weight 64 torch.Size([64])
backbone.bn1.bias 64 torch.Size([64])
backbone.layer1.0.conv1.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.0.bn1.weight 64 torch.Size([64])
backbone.layer1.0.bn1.bias 64 torch.Size([64])
backbone.layer1.0.conv2.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.0.bn2.weight 64 torch.Size([64])
backbone.layer1.0.bn2.bias 64 torch.Size([64])
backbone.layer1.1.conv1.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.1.bn1.weight 64 torch.Size([64])
backbone.layer1.1.bn1.bias 64 torch.Size([64])
backbone.layer1.1.conv2.weight 36864 torch.Size([64, 64, 3, 3])
backbone.layer1.1.bn2.weight 64 torch.Size([64])
backbone.layer1.1.bn2.bias 64 torch.Size([64])
backbone.layer2.0.conv1.weight 73728 torch.Size([128, 64, 3, 3])
backbone.layer2.0.bn1.weight 128 torch.Size([128])
backbone.layer2.0.bn1.bias 128 torch.Size([128])
backbone.layer2.0.conv2.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.0.bn2.weight 128 torch.Size([128])
backbone.layer2.0.bn2.bias 128 torch.Size([128])
backbone.layer2.0.downsample.0.weight 8192 torch.Size([128, 64, 1, 1])
backbone.layer2.0.downsample.1.weight 128 torch.Size([128])
backbone.layer2.0.downsample.1.bias 128 torch.Size([128])
backbone.layer2.1.conv1.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.1.bn1.weight 128 torch.Size([128])
backbone.layer2.1.bn1.bias 128 torch.Size([128])
backbone.layer2.1.conv2.weight 147456 torch.Size([128, 128, 3, 3])
backbone.layer2.1.bn2.weight 128 torch.Size([128])
backbone.layer2.1.bn2.bias 128 torch.Size([128])
backbone.layer3.0.conv1.weight 294912 torch.Size([256, 128, 3, 3])
backbone.layer3.0.bn1.weight 256 torch.Size([256])
backbone.layer3.0.bn1.bias 256 torch.Size([256])
backbone.layer3.0.conv2.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.0.bn2.weight 256 torch.Size([256])
backbone.layer3.0.bn2.bias 256 torch.Size([256])
backbone.layer3.0.downsample.0.weight 32768 torch.Size([256, 128, 1, 1])
backbone.layer3.0.downsample.1.weight 256 torch.Size([256])
backbone.layer3.0.downsample.1.bias 256 torch.Size([256])
backbone.layer3.1.conv1.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.1.bn1.weight 256 torch.Size([256])
backbone.layer3.1.bn1.bias 256 torch.Size([256])
backbone.layer3.1.conv2.weight 589824 torch.Size([256, 256, 3, 3])
backbone.layer3.1.bn2.weight 256 torch.Size([256])
backbone.layer3.1.bn2.bias 256 torch.Size([256])
backbone.layer4.0.conv1.weight 1179648 torch.Size([512, 256, 3, 3])
backbone.layer4.0.bn1.weight 512 torch.Size([512])
backbone.layer4.0.bn1.bias 512 torch.Size([512])
backbone.layer4.0.conv2.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.0.bn2.weight 512 torch.Size([512])
backbone.layer4.0.bn2.bias 512 torch.Size([512])
backbone.layer4.0.downsample.0.weight 131072 torch.Size([512, 256, 1, 1])
backbone.layer4.0.downsample.1.weight 512 torch.Size([512])
backbone.layer4.0.downsample.1.bias 512 torch.Size([512])
backbone.layer4.1.conv1.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.1.bn1.weight 512 torch.Size([512])
backbone.layer4.1.bn1.bias 512 torch.Size([512])
backbone.layer4.1.conv2.weight 2359296 torch.Size([512, 512, 3, 3])
backbone.layer4.1.bn2.weight 512 torch.Size([512])
backbone.layer4.1.bn2.bias 512 torch.Size([512])
projector.layer1.0.weight 262144 torch.Size([512, 512])
projector.layer1.0.bias 512 torch.Size([512])
projector.layer1.1.weight 512 torch.Size([512])
projector.layer1.1.bias 512 torch.Size([512])
projector.layer2.0.weight 262144 torch.Size([512, 512])
projector.layer2.0.bias 512 torch.Size([512])
projector.layer2.1.weight 512 torch.Size([512])
projector.layer2.1.bias 512 torch.Size([512])
projector.layer3.0.weight 131072 torch.Size([256, 512])
projector.layer3.0.bias 256 torch.Size([256])
predictor.layer1.0.weight 16384 torch.Size([64, 256])
predictor.layer1.0.bias 64 torch.Size([64])
predictor.layer1.1.weight 64 torch.Size([64])
predictor.layer1.1.bias 64 torch.Size([64])
predictor.layer2.weight 16384 torch.Size([256, 64])
predictor.layer2.bias 256 torch.Size([256])
Round:  0 User: 0 Train Loss: -1.214
Round:  0 User: 1 Train Loss: -1.213
Round:  0 User: 2 Train Loss: -1.175
Round:  0 User: 3 Train Loss: -1.158
Round:  0 User: 4 Train Loss: -1.156
Round:  0 User: 5 Train Loss: -1.208
Round:  0 User: 6 Train Loss: -1.180
Round:  0 User: 7 Train Loss: -1.215
Round:  0 User: 8 Train Loss: -1.162
Round:  0 User: 9 Train Loss: -1.178
Round:  0 User: 10 Train Loss: -1.184
Round:  0 User: 11 Train Loss: -1.137
Round:  0 User: 12 Train Loss: -1.189
Round:  0 User: 13 Train Loss: -1.186
Round:  0 User: 14 Train Loss: -1.190
Round:  0 User: 15 Train Loss: -1.187
Round:  0 User: 16 Train Loss: -1.226
Round:  0 User: 17 Train Loss: -1.159
Round:  0 User: 18 Train Loss: -1.219
Round:  0 User: 19 Train Loss: -1.189
Round:  0 User: 20 Train Loss: -1.181
Round:  0 User: 21 Train Loss: -1.175
Round:  0 User: 22 Train Loss: -1.191
Round:  0 User: 23 Train Loss: -1.217
Round:  0 User: 24 Train Loss: -1.234
Round:  0 User: 25 Train Loss: -1.190
Round:  0 User: 26 Train Loss: -1.164
Round:  0 User: 27 Train Loss: -1.204
Round:  0 User: 28 Train Loss: -1.199
Round:  0 User: 29 Train Loss: -1.154
Round:  0 User: 30 Train Loss: -1.211
Round:  0 User: 31 Train Loss: -1.193
Round:  0 User: 32 Train Loss: -1.170
Round:  0 User: 33 Train Loss: -1.181
Round:  0 User: 34 Train Loss: -1.159
Round:  0 User: 35 Train Loss: -1.185
Round:  0 User: 36 Train Loss: -1.170
Round:  0 User: 37 Train Loss: -1.213
Round:  0 User: 38 Train Loss: -1.193
Round:  0 User: 39 Train Loss: -1.250
count 40
Global  NMI = 0.2569 ARI = 0.1688 F = 0.2693 ACC = 0.3525
Round:  1 User: 0 Train Loss: -1.419
Round:  1 User: 1 Train Loss: -1.486
Round:  1 User: 2 Train Loss: -1.494
Round:  1 User: 3 Train Loss: -1.481
Round:  1 User: 4 Train Loss: -1.492
Round:  1 User: 5 Train Loss: -1.478
Round:  1 User: 6 Train Loss: -1.459
Round:  1 User: 7 Train Loss: -1.460
Round:  1 User: 8 Train Loss: -1.445
Round:  1 User: 9 Train Loss: -1.450
Round:  1 User: 10 Train Loss: -1.494
Round:  1 User: 11 Train Loss: -1.489
Round:  1 User: 12 Train Loss: -1.491
Round:  1 User: 13 Train Loss: -1.459
Round:  1 User: 14 Train Loss: -1.465
Round:  1 User: 15 Train Loss: -1.499
Round:  1 User: 16 Train Loss: -1.475
Round:  1 User: 17 Train Loss: -1.486
Round:  1 User: 18 Train Loss: -1.471
Round:  1 User: 19 Train Loss: -1.445
Round:  1 User: 20 Train Loss: -1.473
Round:  1 User: 21 Train Loss: -1.457
Round:  1 User: 22 Train Loss: -1.480
Round:  1 User: 23 Train Loss: -1.496
Round:  1 User: 24 Train Loss: -1.513
Round:  1 User: 25 Train Loss: -1.493
Round:  1 User: 26 Train Loss: -1.438
Round:  1 User: 27 Train Loss: -1.467
Round:  1 User: 28 Train Loss: -1.489
Round:  1 User: 29 Train Loss: -1.483
Round:  1 User: 30 Train Loss: -1.439
Round:  1 User: 31 Train Loss: -1.457
Round:  1 User: 32 Train Loss: -1.480
Round:  1 User: 33 Train Loss: -1.459
Round:  1 User: 34 Train Loss: -1.420
Round:  1 User: 35 Train Loss: -1.464
Round:  1 User: 36 Train Loss: -1.456
Round:  1 User: 37 Train Loss: -1.445
Round:  1 User: 38 Train Loss: -1.474
Round:  1 User: 39 Train Loss: -1.500
count 40
Global  NMI = 0.2768 ARI = 0.1905 F = 0.2859 ACC = 0.3820
Round:  2 User: 0 Train Loss: -1.549
Round:  2 User: 1 Train Loss: -1.540
Round:  2 User: 2 Train Loss: -1.586
Round:  2 User: 3 Train Loss: -1.586
Round:  2 User: 4 Train Loss: -1.571
Round:  2 User: 5 Train Loss: -1.601
Round:  2 User: 6 Train Loss: -1.542
Round:  2 User: 7 Train Loss: -1.583
Round:  2 User: 8 Train Loss: -1.554
Round:  2 User: 9 Train Loss: -1.563
Round:  2 User: 10 Train Loss: -1.569
Round:  2 User: 11 Train Loss: -1.599
Round:  2 User: 12 Train Loss: -1.583
Round:  2 User: 13 Train Loss: -1.581
Round:  2 User: 14 Train Loss: -1.558
Round:  2 User: 15 Train Loss: -1.579
Round:  2 User: 16 Train Loss: -1.550
Round:  2 User: 17 Train Loss: -1.556
Round:  2 User: 18 Train Loss: -1.564
Round:  2 User: 19 Train Loss: -1.574
Round:  2 User: 20 Train Loss: -1.569
Round:  2 User: 21 Train Loss: -1.549
Round:  2 User: 22 Train Loss: -1.578
Round:  2 User: 23 Train Loss: -1.593
Round:  2 User: 24 Train Loss: -1.604
Round:  2 User: 25 Train Loss: -1.569
Round:  2 User: 26 Train Loss: -1.556
Round:  2 User: 27 Train Loss: -1.577
Round:  2 User: 28 Train Loss: -1.584
Round:  2 User: 29 Train Loss: -1.576
Round:  2 User: 30 Train Loss: -1.533
Round:  2 User: 31 Train Loss: -1.573
Round:  2 User: 32 Train Loss: -1.561
Round:  2 User: 33 Train Loss: -1.574
Round:  2 User: 34 Train Loss: -1.530
Round:  2 User: 35 Train Loss: -1.572
Round:  2 User: 36 Train Loss: -1.576
Round:  2 User: 37 Train Loss: -1.570
Round:  2 User: 38 Train Loss: -1.583
Round:  2 User: 39 Train Loss: -1.541
count 40
Global  NMI = 0.2818 ARI = 0.1919 F = 0.2888 ACC = 0.3811
Round:  3 User: 0 Train Loss: -1.634
Round:  3 User: 1 Train Loss: -1.640
Round:  3 User: 2 Train Loss: -1.641
Round:  3 User: 3 Train Loss: -1.640
Round:  3 User: 4 Train Loss: -1.620
Round:  3 User: 5 Train Loss: -1.614
Round:  3 User: 6 Train Loss: -1.625
Round:  3 User: 7 Train Loss: -1.638
Round:  3 User: 8 Train Loss: -1.616
Round:  3 User: 9 Train Loss: -1.620
Round:  3 User: 10 Train Loss: -1.605
Round:  3 User: 11 Train Loss: -1.627
Round:  3 User: 12 Train Loss: -1.629
Round:  3 User: 13 Train Loss: -1.619
Round:  3 User: 14 Train Loss: -1.642
Round:  3 User: 15 Train Loss: -1.623
Round:  3 User: 16 Train Loss: -1.641
Round:  3 User: 17 Train Loss: -1.654
Round:  3 User: 18 Train Loss: -1.646
Round:  3 User: 19 Train Loss: -1.628
Round:  3 User: 20 Train Loss: -1.649
Round:  3 User: 21 Train Loss: -1.637
Round:  3 User: 22 Train Loss: -1.652
Round:  3 User: 23 Train Loss: -1.636
Round:  3 User: 24 Train Loss: -1.663
Round:  3 User: 25 Train Loss: -1.632
Round:  3 User: 26 Train Loss: -1.609
Round:  3 User: 27 Train Loss: -1.636
Round:  3 User: 28 Train Loss: -1.621
Round:  3 User: 29 Train Loss: -1.623
Round:  3 User: 30 Train Loss: -1.617
Round:  3 User: 31 Train Loss: -1.618
Round:  3 User: 32 Train Loss: -1.639
Round:  3 User: 33 Train Loss: -1.625
Round:  3 User: 34 Train Loss: -1.612
Round:  3 User: 35 Train Loss: -1.613
Round:  3 User: 36 Train Loss: -1.629
Round:  3 User: 37 Train Loss: -1.641
Round:  3 User: 38 Train Loss: -1.645
Round:  3 User: 39 Train Loss: -1.644
count 40
Global  NMI = 0.2834 ARI = 0.1876 F = 0.2866 ACC = 0.3759
Round:  4 User: 0 Train Loss: -1.658
Round:  4 User: 1 Train Loss: -1.671
Round:  4 User: 2 Train Loss: -1.687
Round:  4 User: 3 Train Loss: -1.667
Round:  4 User: 4 Train Loss: -1.651
Round:  4 User: 5 Train Loss: -1.670
Round:  4 User: 6 Train Loss: -1.665
Round:  4 User: 7 Train Loss: -1.688
Round:  4 User: 8 Train Loss: -1.669
Round:  4 User: 9 Train Loss: -1.658
Round:  4 User: 10 Train Loss: -1.660
Round:  4 User: 11 Train Loss: -1.662
Round:  4 User: 12 Train Loss: -1.659
Round:  4 User: 13 Train Loss: -1.649
Round:  4 User: 14 Train Loss: -1.686
Round:  4 User: 15 Train Loss: -1.652
Round:  4 User: 16 Train Loss: -1.659
Round:  4 User: 17 Train Loss: -1.643
Round:  4 User: 18 Train Loss: -1.652
Round:  4 User: 19 Train Loss: -1.663
Round:  4 User: 20 Train Loss: -1.669
Round:  4 User: 21 Train Loss: -1.634
Round:  4 User: 22 Train Loss: -1.679
Round:  4 User: 23 Train Loss: -1.689
Round:  4 User: 24 Train Loss: -1.680
Round:  4 User: 25 Train Loss: -1.692
Round:  4 User: 26 Train Loss: -1.655
Round:  4 User: 27 Train Loss: -1.674
Round:  4 User: 28 Train Loss: -1.644
Round:  4 User: 29 Train Loss: -1.673
Round:  4 User: 30 Train Loss: -1.675
Round:  4 User: 31 Train Loss: -1.656
Round:  4 User: 32 Train Loss: -1.654
Round:  4 User: 33 Train Loss: -1.651
Round:  4 User: 34 Train Loss: -1.672
Round:  4 User: 35 Train Loss: -1.665
Round:  4 User: 36 Train Loss: -1.656
Round:  4 User: 37 Train Loss: -1.645
Round:  4 User: 38 Train Loss: -1.646
Round:  4 User: 39 Train Loss: -1.665
count 40
Global  NMI = 0.2822 ARI = 0.1859 F = 0.2867 ACC = 0.3677
Round:  5 User: 0 Train Loss: -1.682
Round:  5 User: 1 Train Loss: -1.687
Round:  5 User: 2 Train Loss: -1.716
Round:  5 User: 3 Train Loss: -1.695
Round:  5 User: 4 Train Loss: -1.693
Round:  5 User: 5 Train Loss: -1.696
Round:  5 User: 6 Train Loss: -1.672
Round:  5 User: 7 Train Loss: -1.710
Round:  5 User: 8 Train Loss: -1.672
Round:  5 User: 9 Train Loss: -1.671
Round:  5 User: 10 Train Loss: -1.665
Round:  5 User: 11 Train Loss: -1.678
Round:  5 User: 12 Train Loss: -1.698
Round:  5 User: 13 Train Loss: -1.680
Round:  5 User: 14 Train Loss: -1.694
Round:  5 User: 15 Train Loss: -1.668
Round:  5 User: 16 Train Loss: -1.680
Round:  5 User: 17 Train Loss: -1.696
Round:  5 User: 18 Train Loss: -1.710
Round:  5 User: 19 Train Loss: -1.695
Round:  5 User: 20 Train Loss: -1.716
Round:  5 User: 21 Train Loss: -1.664
Round:  5 User: 22 Train Loss: -1.714
Round:  5 User: 23 Train Loss: -1.688
Round:  5 User: 24 Train Loss: -1.709
Round:  5 User: 25 Train Loss: -1.665
Round:  5 User: 26 Train Loss: -1.666
Round:  5 User: 27 Train Loss: -1.675
Round:  5 User: 28 Train Loss: -1.675
Round:  5 User: 29 Train Loss: -1.709
Round:  5 User: 30 Train Loss: -1.651
Round:  5 User: 31 Train Loss: -1.697
Round:  5 User: 32 Train Loss: -1.686
Round:  5 User: 33 Train Loss: -1.677
Round:  5 User: 34 Train Loss: -1.665
Round:  5 User: 35 Train Loss: -1.695
Round:  5 User: 36 Train Loss: -1.686
Round:  5 User: 37 Train Loss: -1.670
Round:  5 User: 38 Train Loss: -1.683
Round:  5 User: 39 Train Loss: -1.682
count 40
Global  NMI = 0.2868 ARI = 0.1821 F = 0.2834 ACC = 0.3710
Round:  6 User: 0 Train Loss: -1.704
Round:  6 User: 1 Train Loss: -1.724
Round:  6 User: 2 Train Loss: -1.732
Round:  6 User: 3 Train Loss: -1.703
Round:  6 User: 4 Train Loss: -1.698
Round:  6 User: 5 Train Loss: -1.716
Round:  6 User: 6 Train Loss: -1.697
Round:  6 User: 7 Train Loss: -1.699
Round:  6 User: 8 Train Loss: -1.672
Round:  6 User: 9 Train Loss: -1.680
Round:  6 User: 10 Train Loss: -1.679
Round:  6 User: 11 Train Loss: -1.719
Round:  6 User: 12 Train Loss: -1.712
Round:  6 User: 13 Train Loss: -1.708
Round:  6 User: 14 Train Loss: -1.725
Round:  6 User: 15 Train Loss: -1.682
Round:  6 User: 16 Train Loss: -1.714
Round:  6 User: 17 Train Loss: -1.712
Round:  6 User: 18 Train Loss: -1.712
Round:  6 User: 19 Train Loss: -1.698
Round:  6 User: 20 Train Loss: -1.715
Round:  6 User: 21 Train Loss: -1.676
Round:  6 User: 22 Train Loss: -1.715
Round:  6 User: 23 Train Loss: -1.718
Round:  6 User: 24 Train Loss: -1.718
Round:  6 User: 25 Train Loss: -1.699
Round:  6 User: 26 Train Loss: -1.715
Round:  6 User: 27 Train Loss: -1.701
Round:  6 User: 28 Train Loss: -1.703
Round:  6 User: 29 Train Loss: -1.707
Round:  6 User: 30 Train Loss: -1.693
Round:  6 User: 31 Train Loss: -1.689
Round:  6 User: 32 Train Loss: -1.712
Round:  6 User: 33 Train Loss: -1.688
Round:  6 User: 34 Train Loss: -1.690
Round:  6 User: 35 Train Loss: -1.707
Round:  6 User: 36 Train Loss: -1.693
Round:  6 User: 37 Train Loss: -1.710
Round:  6 User: 38 Train Loss: -1.717
Round:  6 User: 39 Train Loss: -1.730
count 40
Global  NMI = 0.2894 ARI = 0.1867 F = 0.2851 ACC = 0.3760
Round:  7 User: 0 Train Loss: -1.713
Round:  7 User: 1 Train Loss: -1.732
Round:  7 User: 2 Train Loss: -1.743
Round:  7 User: 3 Train Loss: -1.724
Round:  7 User: 4 Train Loss: -1.723
Round:  7 User: 5 Train Loss: -1.710
Round:  7 User: 6 Train Loss: -1.729
Round:  7 User: 7 Train Loss: -1.739
Round:  7 User: 8 Train Loss: -1.696
Round:  7 User: 9 Train Loss: -1.712
Round:  7 User: 10 Train Loss: -1.699
Round:  7 User: 11 Train Loss: -1.706
Round:  7 User: 12 Train Loss: -1.714
Round:  7 User: 13 Train Loss: -1.720
Round:  7 User: 14 Train Loss: -1.726
Round:  7 User: 15 Train Loss: -1.710
Round:  7 User: 16 Train Loss: -1.713
Round:  7 User: 17 Train Loss: -1.741
Round:  7 User: 18 Train Loss: -1.734
Round:  7 User: 19 Train Loss: -1.704
Round:  7 User: 20 Train Loss: -1.735
Round:  7 User: 21 Train Loss: -1.700
Round:  7 User: 22 Train Loss: -1.742
Round:  7 User: 23 Train Loss: -1.716
Round:  7 User: 24 Train Loss: -1.747
Round:  7 User: 25 Train Loss: -1.730
Round:  7 User: 26 Train Loss: -1.715
Round:  7 User: 27 Train Loss: -1.733
Round:  7 User: 28 Train Loss: -1.702
Round:  7 User: 29 Train Loss: -1.706
Round:  7 User: 30 Train Loss: -1.703
Round:  7 User: 31 Train Loss: -1.691
Round:  7 User: 32 Train Loss: -1.730
Round:  7 User: 33 Train Loss: -1.711
Round:  7 User: 34 Train Loss: -1.695
Round:  7 User: 35 Train Loss: -1.722
Round:  7 User: 36 Train Loss: -1.704
Round:  7 User: 37 Train Loss: -1.722
Round:  7 User: 38 Train Loss: -1.734
Round:  7 User: 39 Train Loss: -1.731
count 40
Global  NMI = 0.2994 ARI = 0.1936 F = 0.2911 ACC = 0.3830
Round:  8 User: 0 Train Loss: -1.715
Round:  8 User: 1 Train Loss: -1.737
Round:  8 User: 2 Train Loss: -1.756
Round:  8 User: 3 Train Loss: -1.715
Round:  8 User: 4 Train Loss: -1.706
Round:  8 User: 5 Train Loss: -1.735
Round:  8 User: 6 Train Loss: -1.739
Round:  8 User: 7 Train Loss: -1.738
Round:  8 User: 8 Train Loss: -1.727
Round:  8 User: 9 Train Loss: -1.724
Round:  8 User: 10 Train Loss: -1.719
Round:  8 User: 11 Train Loss: -1.733
Round:  8 User: 12 Train Loss: -1.756
Round:  8 User: 13 Train Loss: -1.721
Round:  8 User: 14 Train Loss: -1.748
Round:  8 User: 15 Train Loss: -1.726
Round:  8 User: 16 Train Loss: -1.735
Round:  8 User: 17 Train Loss: -1.731
Round:  8 User: 18 Train Loss: -1.709
Round:  8 User: 19 Train Loss: -1.726
Round:  8 User: 20 Train Loss: -1.741
Round:  8 User: 21 Train Loss: -1.731
Round:  8 User: 22 Train Loss: -1.747
Round:  8 User: 23 Train Loss: -1.739
Round:  8 User: 24 Train Loss: -1.735
Round:  8 User: 25 Train Loss: -1.740
Round:  8 User: 26 Train Loss: -1.700
Round:  8 User: 27 Train Loss: -1.735
Round:  8 User: 28 Train Loss: -1.714
Round:  8 User: 29 Train Loss: -1.737
Round:  8 User: 30 Train Loss: -1.717
Round:  8 User: 31 Train Loss: -1.720
Round:  8 User: 32 Train Loss: -1.731
Round:  8 User: 33 Train Loss: -1.738
Round:  8 User: 34 Train Loss: -1.732
Round:  8 User: 35 Train Loss: -1.733
Round:  8 User: 36 Train Loss: -1.721
Round:  8 User: 37 Train Loss: -1.735
Round:  8 User: 38 Train Loss: -1.734
Round:  8 User: 39 Train Loss: -1.724
count 40
Global  NMI = 0.3021 ARI = 0.1960 F = 0.2911 ACC = 0.3887
Round:  9 User: 0 Train Loss: -1.726
Round:  9 User: 1 Train Loss: -1.736
Round:  9 User: 2 Train Loss: -1.763
Round:  9 User: 3 Train Loss: -1.733
Round:  9 User: 4 Train Loss: -1.721
Round:  9 User: 5 Train Loss: -1.740
Round:  9 User: 6 Train Loss: -1.729
Round:  9 User: 7 Train Loss: -1.753
Round:  9 User: 8 Train Loss: -1.723
Round:  9 User: 9 Train Loss: -1.742
Round:  9 User: 10 Train Loss: -1.725
Round:  9 User: 11 Train Loss: -1.759
Round:  9 User: 12 Train Loss: -1.760
Round:  9 User: 13 Train Loss: -1.725
Round:  9 User: 14 Train Loss: -1.745
Round:  9 User: 15 Train Loss: -1.721
Round:  9 User: 16 Train Loss: -1.730
Round:  9 User: 17 Train Loss: -1.754
Round:  9 User: 18 Train Loss: -1.738
Round:  9 User: 19 Train Loss: -1.734
Round:  9 User: 20 Train Loss: -1.757
Round:  9 User: 21 Train Loss: -1.743
Round:  9 User: 22 Train Loss: -1.759
Round:  9 User: 23 Train Loss: -1.729
Round:  9 User: 24 Train Loss: -1.748
Round:  9 User: 25 Train Loss: -1.760
Round:  9 User: 26 Train Loss: -1.718
Round:  9 User: 27 Train Loss: -1.730
Round:  9 User: 28 Train Loss: -1.710
Round:  9 User: 29 Train Loss: -1.751
Round:  9 User: 30 Train Loss: -1.708
Round:  9 User: 31 Train Loss: -1.719
Round:  9 User: 32 Train Loss: -1.740
Round:  9 User: 33 Train Loss: -1.739
Round:  9 User: 34 Train Loss: -1.727
Round:  9 User: 35 Train Loss: -1.752
Round:  9 User: 36 Train Loss: -1.728
Round:  9 User: 37 Train Loss: -1.734
Round:  9 User: 38 Train Loss: -1.745
Round:  9 User: 39 Train Loss: -1.761
count 40
Global  NMI = 0.3109 ARI = 0.2019 F = 0.2967 ACC = 0.3935
Round:  10 User: 0 Train Loss: -1.709
Round:  10 User: 1 Train Loss: -1.748
Round:  10 User: 2 Train Loss: -1.764
Round:  10 User: 3 Train Loss: -1.762
Round:  10 User: 4 Train Loss: -1.745
Round:  10 User: 5 Train Loss: -1.746
Round:  10 User: 6 Train Loss: -1.733
Round:  10 User: 7 Train Loss: -1.755
Round:  10 User: 8 Train Loss: -1.744
Round:  10 User: 9 Train Loss: -1.756
Round:  10 User: 10 Train Loss: -1.723
Round:  10 User: 11 Train Loss: -1.753
Round:  10 User: 12 Train Loss: -1.760
Round:  10 User: 13 Train Loss: -1.742
Round:  10 User: 14 Train Loss: -1.764
Round:  10 User: 15 Train Loss: -1.737
Round:  10 User: 16 Train Loss: -1.748
Round:  10 User: 17 Train Loss: -1.748
Round:  10 User: 18 Train Loss: -1.744
Round:  10 User: 19 Train Loss: -1.755
Round:  10 User: 20 Train Loss: -1.763
Round:  10 User: 21 Train Loss: -1.743
Round:  10 User: 22 Train Loss: -1.760
Round:  10 User: 23 Train Loss: -1.739
Round:  10 User: 24 Train Loss: -1.764
Round:  10 User: 25 Train Loss: -1.753
Round:  10 User: 26 Train Loss: -1.730
Round:  10 User: 27 Train Loss: -1.735
Round:  10 User: 28 Train Loss: -1.737
Round:  10 User: 29 Train Loss: -1.769
Round:  10 User: 30 Train Loss: -1.750
Round:  10 User: 31 Train Loss: -1.747
Round:  10 User: 32 Train Loss: -1.760
Round:  10 User: 33 Train Loss: -1.762
Round:  10 User: 34 Train Loss: -1.740
Round:  10 User: 35 Train Loss: -1.751
Round:  10 User: 36 Train Loss: -1.759
Round:  10 User: 37 Train Loss: -1.755
Round:  10 User: 38 Train Loss: -1.749
Round:  10 User: 39 Train Loss: -1.771
count 40
Global  NMI = 0.3125 ARI = 0.2046 F = 0.2986 ACC = 0.3951
Round:  11 User: 0 Train Loss: -1.747
Round:  11 User: 1 Train Loss: -1.759
Round:  11 User: 2 Train Loss: -1.756
Round:  11 User: 3 Train Loss: -1.759
Round:  11 User: 4 Train Loss: -1.740
Round:  11 User: 5 Train Loss: -1.736
Round:  11 User: 6 Train Loss: -1.771
Round:  11 User: 7 Train Loss: -1.769
Round:  11 User: 8 Train Loss: -1.737
Round:  11 User: 9 Train Loss: -1.762
Round:  11 User: 10 Train Loss: -1.752
Round:  11 User: 11 Train Loss: -1.745
Round:  11 User: 12 Train Loss: -1.762
Round:  11 User: 13 Train Loss: -1.748
Round:  11 User: 14 Train Loss: -1.758
Round:  11 User: 15 Train Loss: -1.781
Round:  11 User: 16 Train Loss: -1.743
Round:  11 User: 17 Train Loss: -1.760
Round:  11 User: 18 Train Loss: -1.745
Round:  11 User: 19 Train Loss: -1.761
Round:  11 User: 20 Train Loss: -1.739
Round:  11 User: 21 Train Loss: -1.758
Round:  11 User: 22 Train Loss: -1.770
Round:  11 User: 23 Train Loss: -1.732
Round:  11 User: 24 Train Loss: -1.781
Round:  11 User: 25 Train Loss: -1.775
Round:  11 User: 26 Train Loss: -1.761
Round:  11 User: 27 Train Loss: -1.756
Round:  11 User: 28 Train Loss: -1.747
Round:  11 User: 29 Train Loss: -1.763
Round:  11 User: 30 Train Loss: -1.730
Round:  11 User: 31 Train Loss: -1.743
Round:  11 User: 32 Train Loss: -1.747
Round:  11 User: 33 Train Loss: -1.763
Round:  11 User: 34 Train Loss: -1.736
Round:  11 User: 35 Train Loss: -1.748
Round:  11 User: 36 Train Loss: -1.745
Round:  11 User: 37 Train Loss: -1.758
Round:  11 User: 38 Train Loss: -1.759
Round:  11 User: 39 Train Loss: -1.770
count 40
Global  NMI = 0.3183 ARI = 0.2114 F = 0.3048 ACC = 0.3991
Round:  12 User: 0 Train Loss: -1.741
Round:  12 User: 1 Train Loss: -1.758
Round:  12 User: 2 Train Loss: -1.753
Round:  12 User: 3 Train Loss: -1.752
Round:  12 User: 4 Train Loss: -1.766
Round:  12 User: 5 Train Loss: -1.760
Round:  12 User: 6 Train Loss: -1.770
Round:  12 User: 7 Train Loss: -1.741
Round:  12 User: 8 Train Loss: -1.745
Round:  12 User: 9 Train Loss: -1.774
Round:  12 User: 10 Train Loss: -1.769
Round:  12 User: 11 Train Loss: -1.746
Round:  12 User: 12 Train Loss: -1.758
Round:  12 User: 13 Train Loss: -1.755
Round:  12 User: 14 Train Loss: -1.753
Round:  12 User: 15 Train Loss: -1.759
Round:  12 User: 16 Train Loss: -1.768
Round:  12 User: 17 Train Loss: -1.757
Round:  12 User: 18 Train Loss: -1.780
Round:  12 User: 19 Train Loss: -1.767
Round:  12 User: 20 Train Loss: -1.776
Round:  12 User: 21 Train Loss: -1.739
Round:  12 User: 22 Train Loss: -1.769
Round:  12 User: 23 Train Loss: -1.766
Round:  12 User: 24 Train Loss: -1.759
Round:  12 User: 25 Train Loss: -1.773
Round:  12 User: 26 Train Loss: -1.746
Round:  12 User: 27 Train Loss: -1.731
Round:  12 User: 28 Train Loss: -1.746
Round:  12 User: 29 Train Loss: -1.760
Round:  12 User: 30 Train Loss: -1.743
Round:  12 User: 31 Train Loss: -1.744
Round:  12 User: 32 Train Loss: -1.770
Round:  12 User: 33 Train Loss: -1.767
Round:  12 User: 34 Train Loss: -1.747
Round:  12 User: 35 Train Loss: -1.756
Round:  12 User: 36 Train Loss: -1.757
Round:  12 User: 37 Train Loss: -1.744
Round:  12 User: 38 Train Loss: -1.770
Round:  12 User: 39 Train Loss: -1.785
count 40
Global  NMI = 0.3207 ARI = 0.2149 F = 0.3065 ACC = 0.4059
Round:  13 User: 0 Train Loss: -1.759
Round:  13 User: 1 Train Loss: -1.751
Round:  13 User: 2 Train Loss: -1.791
Round:  13 User: 3 Train Loss: -1.770
Round:  13 User: 4 Train Loss: -1.761
Round:  13 User: 5 Train Loss: -1.752
Round:  13 User: 6 Train Loss: -1.771
Round:  13 User: 7 Train Loss: -1.783
Round:  13 User: 8 Train Loss: -1.739
Round:  13 User: 9 Train Loss: -1.755
Round:  13 User: 10 Train Loss: -1.765
Round:  13 User: 11 Train Loss: -1.762
Round:  13 User: 12 Train Loss: -1.770
Round:  13 User: 13 Train Loss: -1.775
Round:  13 User: 14 Train Loss: -1.788
Round:  13 User: 15 Train Loss: -1.765
Round:  13 User: 16 Train Loss: -1.762
Round:  13 User: 17 Train Loss: -1.770
Round:  13 User: 18 Train Loss: -1.760
Round:  13 User: 19 Train Loss: -1.760
Round:  13 User: 20 Train Loss: -1.777
Round:  13 User: 21 Train Loss: -1.759
Round:  13 User: 22 Train Loss: -1.767
Round:  13 User: 23 Train Loss: -1.769
Round:  13 User: 24 Train Loss: -1.763
Round:  13 User: 25 Train Loss: -1.782
Round:  13 User: 26 Train Loss: -1.762
Round:  13 User: 27 Train Loss: -1.766
Round:  13 User: 28 Train Loss: -1.769
Round:  13 User: 29 Train Loss: -1.763
Round:  13 User: 30 Train Loss: -1.739
Round:  13 User: 31 Train Loss: -1.751
Round:  13 User: 32 Train Loss: -1.794
Round:  13 User: 33 Train Loss: -1.793
Round:  13 User: 34 Train Loss: -1.754
Round:  13 User: 35 Train Loss: -1.767
Round:  13 User: 36 Train Loss: -1.756
Round:  13 User: 37 Train Loss: -1.760
Round:  13 User: 38 Train Loss: -1.772
Round:  13 User: 39 Train Loss: -1.792
count 40
Global  NMI = 0.3252 ARI = 0.2181 F = 0.3088 ACC = 0.4085
Round:  14 User: 0 Train Loss: -1.773
Round:  14 User: 1 Train Loss: -1.757
Round:  14 User: 2 Train Loss: -1.785
Round:  14 User: 3 Train Loss: -1.766
Round:  14 User: 4 Train Loss: -1.750
Round:  14 User: 5 Train Loss: -1.771
Round:  14 User: 6 Train Loss: -1.788
Round:  14 User: 7 Train Loss: -1.779
Round:  14 User: 8 Train Loss: -1.776
Round:  14 User: 9 Train Loss: -1.780
Round:  14 User: 10 Train Loss: -1.750
Round:  14 User: 11 Train Loss: -1.763
Round:  14 User: 12 Train Loss: -1.791
Round:  14 User: 13 Train Loss: -1.765
Round:  14 User: 14 Train Loss: -1.772
Round:  14 User: 15 Train Loss: -1.748
Round:  14 User: 16 Train Loss: -1.766
Round:  14 User: 17 Train Loss: -1.775
Round:  14 User: 18 Train Loss: -1.761
Round:  14 User: 19 Train Loss: -1.768
Round:  14 User: 20 Train Loss: -1.796
Round:  14 User: 21 Train Loss: -1.790
Round:  14 User: 22 Train Loss: -1.786
Round:  14 User: 23 Train Loss: -1.772
Round:  14 User: 24 Train Loss: -1.779
Round:  14 User: 25 Train Loss: -1.766
Round:  14 User: 26 Train Loss: -1.773
Round:  14 User: 27 Train Loss: -1.772
Round:  14 User: 28 Train Loss: -1.764
Round:  14 User: 29 Train Loss: -1.786
Round:  14 User: 30 Train Loss: -1.765
Round:  14 User: 31 Train Loss: -1.768
Round:  14 User: 32 Train Loss: -1.773
Round:  14 User: 33 Train Loss: -1.753
Round:  14 User: 34 Train Loss: -1.789
Round:  14 User: 35 Train Loss: -1.772
Round:  14 User: 36 Train Loss: -1.763
Round:  14 User: 37 Train Loss: -1.772
Round:  14 User: 38 Train Loss: -1.778
Round:  14 User: 39 Train Loss: -1.788
count 40
Global  NMI = 0.3288 ARI = 0.2211 F = 0.3106 ACC = 0.4164
Round:  15 User: 0 Train Loss: -1.769
Round:  15 User: 1 Train Loss: -1.767
Round:  15 User: 2 Train Loss: -1.801
Round:  15 User: 3 Train Loss: -1.770
Round:  15 User: 4 Train Loss: -1.775
Round:  15 User: 5 Train Loss: -1.770
Round:  15 User: 6 Train Loss: -1.783
Round:  15 User: 7 Train Loss: -1.776
Round:  15 User: 8 Train Loss: -1.744
Round:  15 User: 9 Train Loss: -1.775
Round:  15 User: 10 Train Loss: -1.783
Round:  15 User: 11 Train Loss: -1.777
Round:  15 User: 12 Train Loss: -1.768
Round:  15 User: 13 Train Loss: -1.784
Round:  15 User: 14 Train Loss: -1.788
Round:  15 User: 15 Train Loss: -1.768
Round:  15 User: 16 Train Loss: -1.772
Round:  15 User: 17 Train Loss: -1.782
Round:  15 User: 18 Train Loss: -1.761
Round:  15 User: 19 Train Loss: -1.746
Round:  15 User: 20 Train Loss: -1.779
Round:  15 User: 21 Train Loss: -1.773
Round:  15 User: 22 Train Loss: -1.783
Round:  15 User: 23 Train Loss: -1.761
Round:  15 User: 24 Train Loss: -1.782
Round:  15 User: 25 Train Loss: -1.769
Round:  15 User: 26 Train Loss: -1.769
Round:  15 User: 27 Train Loss: -1.774
Round:  15 User: 28 Train Loss: -1.781
Round:  15 User: 29 Train Loss: -1.784
Round:  15 User: 30 Train Loss: -1.766
Round:  15 User: 31 Train Loss: -1.787
Round:  15 User: 32 Train Loss: -1.775
Round:  15 User: 33 Train Loss: -1.786
Round:  15 User: 34 Train Loss: -1.771
Round:  15 User: 35 Train Loss: -1.780
Round:  15 User: 36 Train Loss: -1.751
Round:  15 User: 37 Train Loss: -1.770
Round:  15 User: 38 Train Loss: -1.778
Round:  15 User: 39 Train Loss: -1.773
count 40
Global  NMI = 0.3305 ARI = 0.2211 F = 0.3089 ACC = 0.4309
Round:  16 User: 0 Train Loss: -1.769
Round:  16 User: 1 Train Loss: -1.765
Round:  16 User: 2 Train Loss: -1.784
Round:  16 User: 3 Train Loss: -1.783
Round:  16 User: 4 Train Loss: -1.777
Round:  16 User: 5 Train Loss: -1.765
Round:  16 User: 6 Train Loss: -1.763
Round:  16 User: 7 Train Loss: -1.786
Round:  16 User: 8 Train Loss: -1.771
Round:  16 User: 9 Train Loss: -1.764
Round:  16 User: 10 Train Loss: -1.785
Round:  16 User: 11 Train Loss: -1.783
Round:  16 User: 12 Train Loss: -1.785
Round:  16 User: 13 Train Loss: -1.775
Round:  16 User: 14 Train Loss: -1.785
Round:  16 User: 15 Train Loss: -1.781
Round:  16 User: 16 Train Loss: -1.780
Round:  16 User: 17 Train Loss: -1.789
Round:  16 User: 18 Train Loss: -1.794
Round:  16 User: 19 Train Loss: -1.765
Round:  16 User: 20 Train Loss: -1.781
Round:  16 User: 21 Train Loss: -1.756
Round:  16 User: 22 Train Loss: -1.782
Round:  16 User: 23 Train Loss: -1.765
Round:  16 User: 24 Train Loss: -1.781
Round:  16 User: 25 Train Loss: -1.790
Round:  16 User: 26 Train Loss: -1.768
Round:  16 User: 27 Train Loss: -1.765
Round:  16 User: 28 Train Loss: -1.776
Round:  16 User: 29 Train Loss: -1.781
Round:  16 User: 30 Train Loss: -1.776
Round:  16 User: 31 Train Loss: -1.759
Round:  16 User: 32 Train Loss: -1.784
Round:  16 User: 33 Train Loss: -1.792
Round:  16 User: 34 Train Loss: -1.767
Round:  16 User: 35 Train Loss: -1.771
Round:  16 User: 36 Train Loss: -1.775
Round:  16 User: 37 Train Loss: -1.779
Round:  16 User: 38 Train Loss: -1.778
Round:  16 User: 39 Train Loss: -1.797
count 40
Global  NMI = 0.3315 ARI = 0.2191 F = 0.3063 ACC = 0.4363
Round:  17 User: 0 Train Loss: -1.760
Round:  17 User: 1 Train Loss: -1.769
Round:  17 User: 2 Train Loss: -1.774
Round:  17 User: 3 Train Loss: -1.784
Round:  17 User: 4 Train Loss: -1.775
Round:  17 User: 5 Train Loss: -1.788
Round:  17 User: 6 Train Loss: -1.778
Round:  17 User: 7 Train Loss: -1.787
Round:  17 User: 8 Train Loss: -1.775
Round:  17 User: 9 Train Loss: -1.798
Round:  17 User: 10 Train Loss: -1.773
Round:  17 User: 11 Train Loss: -1.777
Round:  17 User: 12 Train Loss: -1.777
Round:  17 User: 13 Train Loss: -1.769
Round:  17 User: 14 Train Loss: -1.794
Round:  17 User: 15 Train Loss: -1.783
Round:  17 User: 16 Train Loss: -1.789
Round:  17 User: 17 Train Loss: -1.791
Round:  17 User: 18 Train Loss: -1.777
Round:  17 User: 19 Train Loss: -1.757
Round:  17 User: 20 Train Loss: -1.779
Round:  17 User: 21 Train Loss: -1.798
Round:  17 User: 22 Train Loss: -1.791
Round:  17 User: 23 Train Loss: -1.798
Round:  17 User: 24 Train Loss: -1.788
Round:  17 User: 25 Train Loss: -1.767
Round:  17 User: 26 Train Loss: -1.791
Round:  17 User: 27 Train Loss: -1.774
Round:  17 User: 28 Train Loss: -1.778
Round:  17 User: 29 Train Loss: -1.785
Round:  17 User: 30 Train Loss: -1.771
Round:  17 User: 31 Train Loss: -1.772
Round:  17 User: 32 Train Loss: -1.779
Round:  17 User: 33 Train Loss: -1.774
Round:  17 User: 34 Train Loss: -1.774
Round:  17 User: 35 Train Loss: -1.787
Round:  17 User: 36 Train Loss: -1.782
Round:  17 User: 37 Train Loss: -1.779
Round:  17 User: 38 Train Loss: -1.788
Round:  17 User: 39 Train Loss: -1.802
count 40
Global  NMI = 0.3325 ARI = 0.2196 F = 0.3060 ACC = 0.4353
Round:  18 User: 0 Train Loss: -1.773
Round:  18 User: 1 Train Loss: -1.772
Round:  18 User: 2 Train Loss: -1.772
Round:  18 User: 3 Train Loss: -1.791
Round:  18 User: 4 Train Loss: -1.768
Round:  18 User: 5 Train Loss: -1.787
Round:  18 User: 6 Train Loss: -1.774
Round:  18 User: 7 Train Loss: -1.792
Round:  18 User: 8 Train Loss: -1.776
Round:  18 User: 9 Train Loss: -1.766
Round:  18 User: 10 Train Loss: -1.778
Round:  18 User: 11 Train Loss: -1.791
Round:  18 User: 12 Train Loss: -1.804
Round:  18 User: 13 Train Loss: -1.777
Round:  18 User: 14 Train Loss: -1.789
Round:  18 User: 15 Train Loss: -1.768
Round:  18 User: 16 Train Loss: -1.788
Round:  18 User: 17 Train Loss: -1.792
Round:  18 User: 18 Train Loss: -1.772
Round:  18 User: 19 Train Loss: -1.796
Round:  18 User: 20 Train Loss: -1.789
Round:  18 User: 21 Train Loss: -1.776
Round:  18 User: 22 Train Loss: -1.770
Round:  18 User: 23 Train Loss: -1.794
Round:  18 User: 24 Train Loss: -1.790
Round:  18 User: 25 Train Loss: -1.795
Round:  18 User: 26 Train Loss: -1.782
Round:  18 User: 27 Train Loss: -1.780
Round:  18 User: 28 Train Loss: -1.777
Round:  18 User: 29 Train Loss: -1.798
Round:  18 User: 30 Train Loss: -1.771
Round:  18 User: 31 Train Loss: -1.794
Round:  18 User: 32 Train Loss: -1.801
Round:  18 User: 33 Train Loss: -1.794
Round:  18 User: 34 Train Loss: -1.776
Round:  18 User: 35 Train Loss: -1.785
Round:  18 User: 36 Train Loss: -1.766
Round:  18 User: 37 Train Loss: -1.793
Round:  18 User: 38 Train Loss: -1.769
Round:  18 User: 39 Train Loss: -1.808
count 40
Global  NMI = 0.3334 ARI = 0.2200 F = 0.3067 ACC = 0.4338
Round:  19 User: 0 Train Loss: -1.784
Round:  19 User: 1 Train Loss: -1.782
Round:  19 User: 2 Train Loss: -1.801
Round:  19 User: 3 Train Loss: -1.786
Round:  19 User: 4 Train Loss: -1.776
Round:  19 User: 5 Train Loss: -1.796
Round:  19 User: 6 Train Loss: -1.793
Round:  19 User: 7 Train Loss: -1.783
Round:  19 User: 8 Train Loss: -1.797
Round:  19 User: 9 Train Loss: -1.786
Round:  19 User: 10 Train Loss: -1.779
Round:  19 User: 11 Train Loss: -1.792
Round:  19 User: 12 Train Loss: -1.797
Round:  19 User: 13 Train Loss: -1.798
Round:  19 User: 14 Train Loss: -1.778
Round:  19 User: 15 Train Loss: -1.766
Round:  19 User: 16 Train Loss: -1.783
Round:  19 User: 17 Train Loss: -1.796
Round:  19 User: 18 Train Loss: -1.764
Round:  19 User: 19 Train Loss: -1.777
Round:  19 User: 20 Train Loss: -1.782
Round:  19 User: 21 Train Loss: -1.789
Round:  19 User: 22 Train Loss: -1.801
Round:  19 User: 23 Train Loss: -1.787
Round:  19 User: 24 Train Loss: -1.786
Round:  19 User: 25 Train Loss: -1.789
Round:  19 User: 26 Train Loss: -1.785
Round:  19 User: 27 Train Loss: -1.784
Round:  19 User: 28 Train Loss: -1.787
Round:  19 User: 29 Train Loss: -1.804
Round:  19 User: 30 Train Loss: -1.783
Round:  19 User: 31 Train Loss: -1.789
Round:  19 User: 32 Train Loss: -1.801
Round:  19 User: 33 Train Loss: -1.786
Round:  19 User: 34 Train Loss: -1.784
Round:  19 User: 35 Train Loss: -1.777
Round:  19 User: 36 Train Loss: -1.787
Round:  19 User: 37 Train Loss: -1.789
Round:  19 User: 38 Train Loss: -1.762
Round:  19 User: 39 Train Loss: -1.779
count 40
Global  NMI = 0.3270 ARI = 0.2012 F = 0.2946 ACC = 0.4165
Round:  20 User: 0 Train Loss: -1.748
Round:  20 User: 1 Train Loss: -1.783
Round:  20 User: 2 Train Loss: -1.816
Round:  20 User: 3 Train Loss: -1.770
Round:  20 User: 4 Train Loss: -1.762
Round:  20 User: 5 Train Loss: -1.789
Round:  20 User: 6 Train Loss: -1.781
Round:  20 User: 7 Train Loss: -1.789
Round:  20 User: 8 Train Loss: -1.790
Round:  20 User: 9 Train Loss: -1.808
Round:  20 User: 10 Train Loss: -1.804
Round:  20 User: 11 Train Loss: -1.805
Round:  20 User: 12 Train Loss: -1.792
Round:  20 User: 13 Train Loss: -1.807
Round:  20 User: 14 Train Loss: -1.794
Round:  20 User: 15 Train Loss: -1.789
Round:  20 User: 16 Train Loss: -1.784
Round:  20 User: 17 Train Loss: -1.797
Round:  20 User: 18 Train Loss: -1.760
Round:  20 User: 19 Train Loss: -1.788
Round:  20 User: 20 Train Loss: -1.805
Round:  20 User: 21 Train Loss: -1.791
Round:  20 User: 22 Train Loss: -1.782
Round:  20 User: 23 Train Loss: -1.792
Round:  20 User: 24 Train Loss: -1.798
Round:  20 User: 25 Train Loss: -1.789
Round:  20 User: 26 Train Loss: -1.799
Round:  20 User: 27 Train Loss: -1.785
Round:  20 User: 28 Train Loss: -1.783
Round:  20 User: 29 Train Loss: -1.796
Round:  20 User: 30 Train Loss: -1.780
Round:  20 User: 31 Train Loss: -1.785
Round:  20 User: 32 Train Loss: -1.813
Round:  20 User: 33 Train Loss: -1.784
Round:  20 User: 34 Train Loss: -1.775
Round:  20 User: 35 Train Loss: -1.781
Round:  20 User: 36 Train Loss: -1.795
Round:  20 User: 37 Train Loss: -1.796
Round:  20 User: 38 Train Loss: -1.786
Round:  20 User: 39 Train Loss: -1.805
count 40