Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.192813873291016
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.106513023376465
Linear Weight Rank: 180
Intra Cos: 0.023467471823096275
Inter Cos: -0.004874930717051029
Norm Quadratic Average: 4.893031120300293
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098742485046387
Linear Weight Rank: 180
Intra Cos: 0.02218337543308735
Inter Cos: -0.0030035055242478848
Norm Quadratic Average: 1.7752737998962402
Nearest Class Center Accuracy: 0.53125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.152103424072266
Linear Weight Rank: 179
Intra Cos: 0.017872866243124008
Inter Cos: -0.003167127724736929
Norm Quadratic Average: 0.6618381142616272
Nearest Class Center Accuracy: 0.50625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11451530456543
Linear Weight Rank: 180
Intra Cos: 0.015535872429609299
Inter Cos: 0.0009987654630094767
Norm Quadratic Average: 0.25303003191947937
Nearest Class Center Accuracy: 0.4905

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120309829711914
Linear Weight Rank: 180
Intra Cos: 0.01270986720919609
Inter Cos: -0.0019474995788186789
Norm Quadratic Average: 0.103162981569767
Nearest Class Center Accuracy: 0.459875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.152125358581543
Linear Weight Rank: 180
Intra Cos: 0.0136623689904809
Inter Cos: 0.0029061688110232353
Norm Quadratic Average: 0.04340975359082222
Nearest Class Center Accuracy: 0.435

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131327629089355
Linear Weight Rank: 179
Intra Cos: 0.01765771023929119
Inter Cos: 0.002071242081001401
Norm Quadratic Average: 0.01853504590690136
Nearest Class Center Accuracy: 0.4325

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1964384317398071
Linear Weight Rank: 4
Intra Cos: 0.014197428710758686
Inter Cos: 0.0009589953115209937
Norm Quadratic Average: 0.0074103400111198425
Nearest Class Center Accuracy: 0.42525

Output Layer:
Intra Cos: 0.030147235840559006
Inter Cos: 0.01866227760910988
Norm Quadratic Average: 0.0009321938268840313
Nearest Class Center Accuracy: 0.395125

Test Set:
Average Loss: 1.3866054382324218
Accuracy: 0.255
NC1 Within Class Collapse: 29.846784591674805
NC2 Equinorm: Features: 0.27419909834861755, Weights: 0.022331686690449715
NC2 Equiangle: Features: 0.18908081452051798, Weights: 0.2926371494928996
NC3 Self-Duality: 1.5116653442382812
NC4 NCC Mismatch: 0.8205

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.192813873291016
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.106513023376465
Linear Weight Rank: 180
Intra Cos: 0.02220259979367256
Inter Cos: -0.0042687333188951015
Norm Quadratic Average: 4.881337642669678
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098742485046387
Linear Weight Rank: 180
Intra Cos: 0.021238993853330612
Inter Cos: -0.004027232993394136
Norm Quadratic Average: 1.7652868032455444
Nearest Class Center Accuracy: 0.538

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.152103424072266
Linear Weight Rank: 179
Intra Cos: 0.01648024283349514
Inter Cos: -0.0015868988120928407
Norm Quadratic Average: 0.6576887369155884
Nearest Class Center Accuracy: 0.5015

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11451530456543
Linear Weight Rank: 180
Intra Cos: 0.014669504947960377
Inter Cos: 0.0003505473432596773
Norm Quadratic Average: 0.2506978213787079
Nearest Class Center Accuracy: 0.507

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120309829711914
Linear Weight Rank: 180
Intra Cos: 0.011627666652202606
Inter Cos: -0.0011346194660291076
Norm Quadratic Average: 0.10212226212024689
Nearest Class Center Accuracy: 0.4595

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.152125358581543
Linear Weight Rank: 180
Intra Cos: 0.011628597974777222
Inter Cos: -0.0004661255225073546
Norm Quadratic Average: 0.042865585535764694
Nearest Class Center Accuracy: 0.434

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131327629089355
Linear Weight Rank: 179
Intra Cos: 0.016342133283615112
Inter Cos: 0.0038162441924214363
Norm Quadratic Average: 0.018238350749015808
Nearest Class Center Accuracy: 0.4215

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1964384317398071
Linear Weight Rank: 4
Intra Cos: 0.013606557622551918
Inter Cos: 0.0011253488482907414
Norm Quadratic Average: 0.007306335028260946
Nearest Class Center Accuracy: 0.4165

Output Layer:
Intra Cos: 0.026428908109664917
Inter Cos: 0.01772441901266575
Norm Quadratic Average: 0.000917276949621737
Nearest Class Center Accuracy: 0.389

