Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.442631721496582
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: 8.391738891601562
Linear Weight Rank: 179
Intra Cos: 0.11949219554662704
Inter Cos: 0.008365039713680744
Norm Quadratic Average: 5.106845378875732
Nearest Class Center Accuracy: 0.925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.377776145935059
Linear Weight Rank: 179
Intra Cos: 0.4808710515499115
Inter Cos: 0.0381438322365284
Norm Quadratic Average: 4.162184238433838
Nearest Class Center Accuracy: 0.961125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.407464027404785
Linear Weight Rank: 180
Intra Cos: 0.6639022827148438
Inter Cos: 0.0715794563293457
Norm Quadratic Average: 6.141028881072998
Nearest Class Center Accuracy: 0.9515

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.391133308410645
Linear Weight Rank: 179
Intra Cos: 0.6870410442352295
Inter Cos: 0.08761507272720337
Norm Quadratic Average: 9.641545295715332
Nearest Class Center Accuracy: 0.948625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9823710918426514
Linear Weight Rank: 4
Intra Cos: 0.6625308990478516
Inter Cos: 0.09225663542747498
Norm Quadratic Average: 14.56272029876709
Nearest Class Center Accuracy: 0.944

Output Layer:
Intra Cos: 0.7748961448669434
Inter Cos: 0.07980480045080185
Norm Quadratic Average: 26.920867919921875
Nearest Class Center Accuracy: 0.9575

Test Set:
Average Loss: 0.07184067153930664
Accuracy: 0.9675
NC1 Within Class Collapse: 1.5946711301803589
NC2 Equinorm: Features: 0.03926626965403557, Weights: 0.026067228987812996
NC2 Equiangle: Features: 0.43248240152994794, Weights: 0.37525637944539386
NC3 Self-Duality: 0.13158582150936127
NC4 NCC Mismatch: 0.0635

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.442631721496582
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: 8.391738891601562
Linear Weight Rank: 179
Intra Cos: 0.1223139837384224
Inter Cos: 0.0030557019636034966
Norm Quadratic Average: 5.105869293212891
Nearest Class Center Accuracy: 0.921

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.377776145935059
Linear Weight Rank: 179
Intra Cos: 0.475782185792923
Inter Cos: 0.03464591130614281
Norm Quadratic Average: 4.193755626678467
Nearest Class Center Accuracy: 0.95

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.407464027404785
Linear Weight Rank: 180
Intra Cos: 0.6493902206420898
Inter Cos: 0.07418172806501389
Norm Quadratic Average: 6.198163986206055
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.391133308410645
Linear Weight Rank: 179
Intra Cos: 0.6711782813072205
Inter Cos: 0.07628625631332397
Norm Quadratic Average: 9.725333213806152
Nearest Class Center Accuracy: 0.933

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9823710918426514
Linear Weight Rank: 4
Intra Cos: 0.646767258644104
Inter Cos: 0.07604265213012695
Norm Quadratic Average: 14.684789657592773
Nearest Class Center Accuracy: 0.9345

Output Layer:
Intra Cos: 0.7609835863113403
Inter Cos: 0.09288345277309418
Norm Quadratic Average: 27.100130081176758
Nearest Class Center Accuracy: 0.945

