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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.186488151550293
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: 8.18621826171875
Linear Weight Rank: 180
Intra Cos: 0.07322588562965393
Inter Cos: 0.0012403777800500393
Norm Quadratic Average: 14.197052001953125
Nearest Class Center Accuracy: 0.86025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138160705566406
Linear Weight Rank: 179
Intra Cos: 0.11414000391960144
Inter Cos: 0.0010384570341557264
Norm Quadratic Average: 14.165453910827637
Nearest Class Center Accuracy: 0.92575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114297866821289
Linear Weight Rank: 180
Intra Cos: 0.15615423023700714
Inter Cos: 0.008566616103053093
Norm Quadratic Average: 14.086627960205078
Nearest Class Center Accuracy: 0.964

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131889343261719
Linear Weight Rank: 180
Intra Cos: 0.21602416038513184
Inter Cos: 0.012544083409011364
Norm Quadratic Average: 14.030119895935059
Nearest Class Center Accuracy: 0.996125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4527902603149414
Linear Weight Rank: 4
Intra Cos: 0.3638850450515747
Inter Cos: -0.029294978827238083
Norm Quadratic Average: 14.105982780456543
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9206984043121338
Inter Cos: -0.04711397737264633
Norm Quadratic Average: 12.292263984680176
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28135354042053223
Accuracy: 0.9045
NC1 Within Class Collapse: 1.4067189693450928
NC2 Equinorm: Features: 0.02758183516561985, Weights: 0.017080659046769142
NC2 Equiangle: Features: 0.312928040822347, Weights: 0.11949274937311809
NC3 Self-Duality: 0.2225317507982254
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.186488151550293
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: 8.18621826171875
Linear Weight Rank: 180
Intra Cos: 0.07502156496047974
Inter Cos: 0.004539993591606617
Norm Quadratic Average: 14.183830261230469
Nearest Class Center Accuracy: 0.863

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138160705566406
Linear Weight Rank: 179
Intra Cos: 0.11354663223028183
Inter Cos: 0.005235318094491959
Norm Quadratic Average: 14.16237735748291
Nearest Class Center Accuracy: 0.8985

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114297866821289
Linear Weight Rank: 180
Intra Cos: 0.14706268906593323
Inter Cos: 0.013745796866714954
Norm Quadratic Average: 14.094067573547363
Nearest Class Center Accuracy: 0.9125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131889343261719
Linear Weight Rank: 180
Intra Cos: 0.1857941746711731
Inter Cos: 0.015484191477298737
Norm Quadratic Average: 14.032174110412598
Nearest Class Center Accuracy: 0.905

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4527902603149414
Linear Weight Rank: 4
Intra Cos: 0.27453505992889404
Inter Cos: -0.0069076670333743095
Norm Quadratic Average: 13.9432954788208
Nearest Class Center Accuracy: 0.903

Output Layer:
Intra Cos: 0.7419618368148804
Inter Cos: 0.010901875793933868
Norm Quadratic Average: 11.92452621459961
Nearest Class Center Accuracy: 0.9055

