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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7671948671340942
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: 1.744490146636963
Linear Weight Rank: 179
Intra Cos: 0.05967703461647034
Inter Cos: 0.005238294135779142
Norm Quadratic Average: 1.0368331670761108
Nearest Class Center Accuracy: 0.807375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7405098676681519
Linear Weight Rank: 179
Intra Cos: 0.058161936700344086
Inter Cos: 0.004801332950592041
Norm Quadratic Average: 0.09080542623996735
Nearest Class Center Accuracy: 0.718125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7458935976028442
Linear Weight Rank: 180
Intra Cos: 0.0729529932141304
Inter Cos: 0.015014930628240108
Norm Quadratic Average: 0.00816997792571783
Nearest Class Center Accuracy: 0.657125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7397903203964233
Linear Weight Rank: 180
Intra Cos: 0.10736119747161865
Inter Cos: 0.03362072631716728
Norm Quadratic Average: 0.0007830600370652974
Nearest Class Center Accuracy: 0.647375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2584843039512634
Linear Weight Rank: 4
Intra Cos: 0.14724305272102356
Inter Cos: 0.024171605706214905
Norm Quadratic Average: 7.710017962381244e-05
Nearest Class Center Accuracy: 0.636125

Output Layer:
Intra Cos: 0.30862465500831604
Inter Cos: 0.035029344260692596
Norm Quadratic Average: 4.247405286150752e-06
Nearest Class Center Accuracy: 0.62775

Test Set:
Average Loss: 1.3871501579284669
Accuracy: 0.257
NC1 Within Class Collapse: 22.67473602294922
NC2 Equinorm: Features: 0.17553994059562683, Weights: 0.055767230689525604
NC2 Equiangle: Features: 0.4366449515024821, Weights: 0.2694765329360962
NC3 Self-Duality: 1.1812963485717773
NC4 NCC Mismatch: 0.7865

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7671948671340942
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: 1.744490146636963
Linear Weight Rank: 179
Intra Cos: 0.06132332235574722
Inter Cos: 0.002622240222990513
Norm Quadratic Average: 1.0348578691482544
Nearest Class Center Accuracy: 0.8095

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7405098676681519
Linear Weight Rank: 179
Intra Cos: 0.05896412953734398
Inter Cos: 0.007382793352007866
Norm Quadratic Average: 0.09063343703746796
Nearest Class Center Accuracy: 0.7405

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7458935976028442
Linear Weight Rank: 180
Intra Cos: 0.07604477554559708
Inter Cos: 0.011012782342731953
Norm Quadratic Average: 0.008157174102962017
Nearest Class Center Accuracy: 0.6765

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7397903203964233
Linear Weight Rank: 180
Intra Cos: 0.11225439608097076
Inter Cos: 0.028466640040278435
Norm Quadratic Average: 0.0007790821837261319
Nearest Class Center Accuracy: 0.667

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2584843039512634
Linear Weight Rank: 4
Intra Cos: 0.15506304800510406
Inter Cos: 0.021431319415569305
Norm Quadratic Average: 7.671662751818076e-05
Nearest Class Center Accuracy: 0.6495

Output Layer:
Intra Cos: 0.33536338806152344
Inter Cos: 0.08117485046386719
Norm Quadratic Average: 4.239061127009336e-06
Nearest Class Center Accuracy: 0.645

