Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9907307624816895
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1192002296447754
Linear Weight Rank: 179
Intra Cos: 0.09705080091953278
Inter Cos: 0.0041864244267344475
Norm Quadratic Average: 3.3688015937805176
Nearest Class Center Accuracy: 0.914125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0140469074249268
Linear Weight Rank: 179
Intra Cos: 0.16792891919612885
Inter Cos: 0.0012809475883841515
Norm Quadratic Average: 3.3217837810516357
Nearest Class Center Accuracy: 0.978375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9474151134490967
Linear Weight Rank: 179
Intra Cos: 0.2945834994316101
Inter Cos: 0.007145591080188751
Norm Quadratic Average: 3.2877087593078613
Nearest Class Center Accuracy: 0.9975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9351781606674194
Linear Weight Rank: 179
Intra Cos: 0.5952185392379761
Inter Cos: -0.03368257358670235
Norm Quadratic Average: 3.278336763381958
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9298067092895508
Linear Weight Rank: 4
Intra Cos: 0.9434746503829956
Inter Cos: -0.23786553740501404
Norm Quadratic Average: 3.810978889465332
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9960886240005493
Inter Cos: -0.22371746599674225
Norm Quadratic Average: 4.083116054534912
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1865802927017212
Accuracy: 0.932
NC1 Within Class Collapse: 0.4963842034339905
NC2 Equinorm: Features: 0.011626317165791988, Weights: 0.019655490294098854
NC2 Equiangle: Features: 0.15064633886019388, Weights: 0.03310488164424896
NC3 Self-Duality: 0.04713476449251175
NC4 NCC Mismatch: 0.0024999999999999467

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.9907307624816895
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 2.1192002296447754
Linear Weight Rank: 179
Intra Cos: 0.09963679313659668
Inter Cos: 0.004281069617718458
Norm Quadratic Average: 3.368347644805908
Nearest Class Center Accuracy: 0.914

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0140469074249268
Linear Weight Rank: 179
Intra Cos: 0.1611119955778122
Inter Cos: 0.0023204032331705093
Norm Quadratic Average: 3.326300621032715
Nearest Class Center Accuracy: 0.947

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9474151134490967
Linear Weight Rank: 179
Intra Cos: 0.27754637598991394
Inter Cos: 0.01462412066757679
Norm Quadratic Average: 3.286642074584961
Nearest Class Center Accuracy: 0.949

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9351781606674194
Linear Weight Rank: 179
Intra Cos: 0.5051789283752441
Inter Cos: -0.007616047747433186
Norm Quadratic Average: 3.223121166229248
Nearest Class Center Accuracy: 0.942

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9298067092895508
Linear Weight Rank: 4
Intra Cos: 0.7806552648544312
Inter Cos: -0.1328229457139969
Norm Quadratic Average: 3.5397117137908936
Nearest Class Center Accuracy: 0.9335

Output Layer:
Intra Cos: 0.8417723774909973
Inter Cos: -0.11577794700860977
Norm Quadratic Average: 3.7561264038085938
Nearest Class Center Accuracy: 0.933

