Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.972993850708008
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966187000274658
Linear Weight Rank: 180
Intra Cos: 0.07192713767290115
Inter Cos: 0.005386591888964176
Norm Quadratic Average: 13.72451400756836
Nearest Class Center Accuracy: 0.87125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.924249172210693
Linear Weight Rank: 179
Intra Cos: 0.10078462213277817
Inter Cos: 0.005726973060518503
Norm Quadratic Average: 13.661957740783691
Nearest Class Center Accuracy: 0.91025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956144332885742
Linear Weight Rank: 179
Intra Cos: 0.13260909914970398
Inter Cos: 0.004081625957041979
Norm Quadratic Average: 13.646247863769531
Nearest Class Center Accuracy: 0.945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905795574188232
Linear Weight Rank: 179
Intra Cos: 0.16224919259548187
Inter Cos: -0.00017666351050138474
Norm Quadratic Average: 13.614225387573242
Nearest Class Center Accuracy: 0.9735

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.903413772583008
Linear Weight Rank: 180
Intra Cos: 0.18877407908439636
Inter Cos: 0.00020219117868691683
Norm Quadratic Average: 13.58194351196289
Nearest Class Center Accuracy: 0.9905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.927829265594482
Linear Weight Rank: 180
Intra Cos: 0.22222883999347687
Inter Cos: -0.009377147071063519
Norm Quadratic Average: 13.532544136047363
Nearest Class Center Accuracy: 0.998875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.904857635498047
Linear Weight Rank: 179
Intra Cos: 0.3010110557079315
Inter Cos: -0.03658849745988846
Norm Quadratic Average: 13.550954818725586
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.036984920501709
Linear Weight Rank: 4
Intra Cos: 0.45419061183929443
Inter Cos: -0.09217097610235214
Norm Quadratic Average: 13.659088134765625
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9591332077980042
Inter Cos: -0.1384463906288147
Norm Quadratic Average: 10.412439346313477
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.333040431022644
Accuracy: 0.8905
NC1 Within Class Collapse: 1.1687180995941162
NC2 Equinorm: Features: 0.016742853447794914, Weights: 0.014941070228815079
NC2 Equiangle: Features: 0.23315314451853433, Weights: 0.09738047917683919
NC3 Self-Duality: 0.24439959228038788
NC4 NCC Mismatch: 0.015499999999999958

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.972993850708008
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966187000274658
Linear Weight Rank: 180
Intra Cos: 0.07041729986667633
Inter Cos: 0.00565956998616457
Norm Quadratic Average: 13.713987350463867
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.924249172210693
Linear Weight Rank: 179
Intra Cos: 0.09857802093029022
Inter Cos: 0.005694268736988306
Norm Quadratic Average: 13.652107238769531
Nearest Class Center Accuracy: 0.904

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956144332885742
Linear Weight Rank: 179
Intra Cos: 0.12229297310113907
Inter Cos: -0.0038363770581781864
Norm Quadratic Average: 13.649260520935059
Nearest Class Center Accuracy: 0.91

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.905795574188232
Linear Weight Rank: 179
Intra Cos: 0.15271730720996857
Inter Cos: 0.00268601905554533
Norm Quadratic Average: 13.6195650100708
Nearest Class Center Accuracy: 0.9075

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.903413772583008
Linear Weight Rank: 180
Intra Cos: 0.16228953003883362
Inter Cos: 0.007264597807079554
Norm Quadratic Average: 13.552140235900879
Nearest Class Center Accuracy: 0.893

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.927829265594482
Linear Weight Rank: 180
Intra Cos: 0.18279911577701569
Inter Cos: 0.004495556931942701
Norm Quadratic Average: 13.417509078979492
Nearest Class Center Accuracy: 0.896

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.904857635498047
Linear Weight Rank: 179
Intra Cos: 0.22390401363372803
Inter Cos: -0.017502501606941223
Norm Quadratic Average: 13.306927680969238
Nearest Class Center Accuracy: 0.896

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.036984920501709
Linear Weight Rank: 4
Intra Cos: 0.32932722568511963
Inter Cos: -0.03656557574868202
Norm Quadratic Average: 13.116729736328125
Nearest Class Center Accuracy: 0.893

Output Layer:
Intra Cos: 0.7153652906417847
Inter Cos: -0.04695165902376175
Norm Quadratic Average: 9.600467681884766
Nearest Class Center Accuracy: 0.891

