Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.105279445648193
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 7.054262638092041
Linear Weight Rank: 180
Intra Cos: 0.0765622928738594
Inter Cos: 0.003499014535918832
Norm Quadratic Average: 12.123275756835938
Nearest Class Center Accuracy: 0.873375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.015078544616699
Linear Weight Rank: 180
Intra Cos: 0.11711309105157852
Inter Cos: 0.0030301720835268497
Norm Quadratic Average: 12.115214347839355
Nearest Class Center Accuracy: 0.92525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.023614406585693
Linear Weight Rank: 180
Intra Cos: 0.14629924297332764
Inter Cos: -0.0016528230626136065
Norm Quadratic Average: 12.111668586730957
Nearest Class Center Accuracy: 0.962375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992348670959473
Linear Weight Rank: 180
Intra Cos: 0.2169688493013382
Inter Cos: -0.014160756021738052
Norm Quadratic Average: 12.055119514465332
Nearest Class Center Accuracy: 0.99825

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2592549324035645
Linear Weight Rank: 4
Intra Cos: 0.4145626425743103
Inter Cos: -0.05746408551931381
Norm Quadratic Average: 12.188454627990723
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9294853806495667
Inter Cos: -0.09340088069438934
Norm Quadratic Average: 10.411561012268066
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2755973491668701
Accuracy: 0.898
NC1 Within Class Collapse: 1.2327784299850464
NC2 Equinorm: Features: 0.016503602266311646, Weights: 0.029821479693055153
NC2 Equiangle: Features: 0.27404828866322833, Weights: 0.10456375281016032
NC3 Self-Duality: 0.1975301057100296
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.105279445648193
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: 7.054262638092041
Linear Weight Rank: 180
Intra Cos: 0.07744895666837692
Inter Cos: 0.0024979806039482355
Norm Quadratic Average: 12.101303100585938
Nearest Class Center Accuracy: 0.8705

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.015078544616699
Linear Weight Rank: 180
Intra Cos: 0.11336313933134079
Inter Cos: -0.0013461608905345201
Norm Quadratic Average: 12.143733024597168
Nearest Class Center Accuracy: 0.9095

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.023614406585693
Linear Weight Rank: 180
Intra Cos: 0.1330845206975937
Inter Cos: 0.0037143786903470755
Norm Quadratic Average: 12.163226127624512
Nearest Class Center Accuracy: 0.899

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.992348670959473
Linear Weight Rank: 180
Intra Cos: 0.1821983903646469
Inter Cos: -0.001117221312597394
Norm Quadratic Average: 12.087067604064941
Nearest Class Center Accuracy: 0.9135

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2592549324035645
Linear Weight Rank: 4
Intra Cos: 0.30828219652175903
Inter Cos: -0.03345812112092972
Norm Quadratic Average: 12.052058219909668
Nearest Class Center Accuracy: 0.903

Output Layer:
Intra Cos: 0.7293587327003479
Inter Cos: -0.04578036442399025
Norm Quadratic Average: 10.044970512390137
Nearest Class Center Accuracy: 0.898

