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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.205501556396484
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: 8.196046829223633
Linear Weight Rank: 180
Intra Cos: 0.07166185975074768
Inter Cos: 0.0049461121670901775
Norm Quadratic Average: 14.124696731567383
Nearest Class Center Accuracy: 0.87025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154264450073242
Linear Weight Rank: 180
Intra Cos: 0.10032357275485992
Inter Cos: 0.005305104423314333
Norm Quadratic Average: 14.061574935913086
Nearest Class Center Accuracy: 0.908875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18738079071045
Linear Weight Rank: 179
Intra Cos: 0.1331857591867447
Inter Cos: 0.0023434681352227926
Norm Quadratic Average: 14.051985740661621
Nearest Class Center Accuracy: 0.94275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.136184692382812
Linear Weight Rank: 179
Intra Cos: 0.1615849733352661
Inter Cos: -0.00018067099153995514
Norm Quadratic Average: 14.0389986038208
Nearest Class Center Accuracy: 0.972625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13377857208252
Linear Weight Rank: 180
Intra Cos: 0.1872563511133194
Inter Cos: -0.0017648013308644295
Norm Quadratic Average: 13.99557876586914
Nearest Class Center Accuracy: 0.989625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159151077270508
Linear Weight Rank: 180
Intra Cos: 0.22136752307415009
Inter Cos: -0.009453578852117062
Norm Quadratic Average: 13.9528226852417
Nearest Class Center Accuracy: 0.99775

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135659217834473
Linear Weight Rank: 179
Intra Cos: 0.2945437729358673
Inter Cos: -0.03570568561553955
Norm Quadratic Average: 13.96280574798584
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0717175006866455
Linear Weight Rank: 4
Intra Cos: 0.43913424015045166
Inter Cos: -0.0895223319530487
Norm Quadratic Average: 14.076671600341797
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9592523574829102
Inter Cos: -0.1373208463191986
Norm Quadratic Average: 10.797228813171387
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.34182804012298584
Accuracy: 0.8905
NC1 Within Class Collapse: 1.1747609376907349
NC2 Equinorm: Features: 0.013811437413096428, Weights: 0.016067875549197197
NC2 Equiangle: Features: 0.23385910193125406, Weights: 0.10108029842376709
NC3 Self-Duality: 0.24922481179237366
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.205501556396484
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: 8.196046829223633
Linear Weight Rank: 180
Intra Cos: 0.07012806087732315
Inter Cos: 0.005259744822978973
Norm Quadratic Average: 14.113102912902832
Nearest Class Center Accuracy: 0.879

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154264450073242
Linear Weight Rank: 180
Intra Cos: 0.09838581830263138
Inter Cos: 0.005623248405754566
Norm Quadratic Average: 14.051507949829102
Nearest Class Center Accuracy: 0.9

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.18738079071045
Linear Weight Rank: 179
Intra Cos: 0.12263453006744385
Inter Cos: -0.002016326878219843
Norm Quadratic Average: 14.042203903198242
Nearest Class Center Accuracy: 0.9005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.136184692382812
Linear Weight Rank: 179
Intra Cos: 0.15320055186748505
Inter Cos: 0.002616862766444683
Norm Quadratic Average: 14.0267333984375
Nearest Class Center Accuracy: 0.898

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13377857208252
Linear Weight Rank: 180
Intra Cos: 0.16271887719631195
Inter Cos: 0.0036612011026591063
Norm Quadratic Average: 13.926912307739258
Nearest Class Center Accuracy: 0.899

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159151077270508
Linear Weight Rank: 180
Intra Cos: 0.18088029325008392
Inter Cos: 0.0022003452759236097
Norm Quadratic Average: 13.810635566711426
Nearest Class Center Accuracy: 0.894

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135659217834473
Linear Weight Rank: 179
Intra Cos: 0.22171983122825623
Inter Cos: -0.018826067447662354
Norm Quadratic Average: 13.695773124694824
Nearest Class Center Accuracy: 0.8975

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0717175006866455
Linear Weight Rank: 4
Intra Cos: 0.3163958191871643
Inter Cos: -0.03646959364414215
Norm Quadratic Average: 13.507539749145508
Nearest Class Center Accuracy: 0.8975

Output Layer:
Intra Cos: 0.71563321352005
Inter Cos: -0.04573272168636322
Norm Quadratic Average: 9.943846702575684
Nearest Class Center Accuracy: 0.8935

