Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.119123458862305
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758478581905365
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: 8.111557006835938
Linear Weight Rank: 180
Intra Cos: 0.07157472521066666
Inter Cos: 0.005415913183242083
Norm Quadratic Average: 13.924741744995117
Nearest Class Center Accuracy: 0.870375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069570541381836
Linear Weight Rank: 179
Intra Cos: 0.09960923343896866
Inter Cos: 0.005084591452032328
Norm Quadratic Average: 13.887052536010742
Nearest Class Center Accuracy: 0.91225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10155200958252
Linear Weight Rank: 179
Intra Cos: 0.12724635004997253
Inter Cos: 0.007312807720154524
Norm Quadratic Average: 13.85367488861084
Nearest Class Center Accuracy: 0.937625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050662994384766
Linear Weight Rank: 179
Intra Cos: 0.16139303147792816
Inter Cos: -0.0006085729692131281
Norm Quadratic Average: 13.82310962677002
Nearest Class Center Accuracy: 0.973

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048004150390625
Linear Weight Rank: 180
Intra Cos: 0.18278981745243073
Inter Cos: -0.004730315878987312
Norm Quadratic Average: 13.781912803649902
Nearest Class Center Accuracy: 0.989875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073098182678223
Linear Weight Rank: 180
Intra Cos: 0.21906206011772156
Inter Cos: -0.012088635936379433
Norm Quadratic Average: 13.812516212463379
Nearest Class Center Accuracy: 0.998125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049792289733887
Linear Weight Rank: 179
Intra Cos: 0.29577961564064026
Inter Cos: -0.03744243457913399
Norm Quadratic Average: 13.811924934387207
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.074277639389038
Linear Weight Rank: 4
Intra Cos: 0.45474785566329956
Inter Cos: -0.09223036468029022
Norm Quadratic Average: 13.899313926696777
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9581442475318909
Inter Cos: -0.13710373640060425
Norm Quadratic Average: 10.802814483642578
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3610524253845215
Accuracy: 0.8945
NC1 Within Class Collapse: 1.1817094087600708
NC2 Equinorm: Features: 0.023211633786559105, Weights: 0.015567648224532604
NC2 Equiangle: Features: 0.2363778551419576, Weights: 0.09616907437642415
NC3 Self-Duality: 0.24230994284152985
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.119123458862305
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.111557006835938
Linear Weight Rank: 180
Intra Cos: 0.07010353356599808
Inter Cos: 0.00492978235706687
Norm Quadratic Average: 13.910794258117676
Nearest Class Center Accuracy: 0.875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.069570541381836
Linear Weight Rank: 179
Intra Cos: 0.09729468077421188
Inter Cos: 0.0051023769192397594
Norm Quadratic Average: 13.879983901977539
Nearest Class Center Accuracy: 0.8985

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10155200958252
Linear Weight Rank: 179
Intra Cos: 0.1164291650056839
Inter Cos: -0.0008665978093631566
Norm Quadratic Average: 13.853312492370605
Nearest Class Center Accuracy: 0.9025

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050662994384766
Linear Weight Rank: 179
Intra Cos: 0.144051194190979
Inter Cos: 0.001061102608218789
Norm Quadratic Average: 13.809797286987305
Nearest Class Center Accuracy: 0.897

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048004150390625
Linear Weight Rank: 180
Intra Cos: 0.15245401859283447
Inter Cos: 0.00101948669180274
Norm Quadratic Average: 13.718888282775879
Nearest Class Center Accuracy: 0.898

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073098182678223
Linear Weight Rank: 180
Intra Cos: 0.1698169857263565
Inter Cos: -0.0032606578897684813
Norm Quadratic Average: 13.662625312805176
Nearest Class Center Accuracy: 0.89

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.049792289733887
Linear Weight Rank: 179
Intra Cos: 0.21522077918052673
Inter Cos: -0.019806835800409317
Norm Quadratic Average: 13.550987243652344
Nearest Class Center Accuracy: 0.9025

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.074277639389038
Linear Weight Rank: 4
Intra Cos: 0.32384106516838074
Inter Cos: -0.03966198489069939
Norm Quadratic Average: 13.341958045959473
Nearest Class Center Accuracy: 0.8995

Output Layer:
Intra Cos: 0.7023323774337769
Inter Cos: -0.05828649550676346
Norm Quadratic Average: 9.978128433227539
Nearest Class Center Accuracy: 0.899

