Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_846264_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.046308208256959915
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 0.04606717824935913
Linear Weight Rank: 179
Intra Cos: 0.05376901477575302
Inter Cos: 0.005708011798560619
Norm Quadratic Average: 0.02743378095328808
Nearest Class Center Accuracy: 0.806625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04596719890832901
Linear Weight Rank: 179
Intra Cos: 0.05735720694065094
Inter Cos: 0.009181730449199677
Norm Quadratic Average: 6.372646748786792e-05
Nearest Class Center Accuracy: 0.736

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045813411474227905
Linear Weight Rank: 179
Intra Cos: 0.04676742106676102
Inter Cos: 0.01300869695842266
Norm Quadratic Average: 1.54306817989891e-07
Nearest Class Center Accuracy: 0.667625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04590761661529541
Linear Weight Rank: 180
Intra Cos: 0.8841472268104553
Inter Cos: 0.8853610157966614
Norm Quadratic Average: 1.0587379861703994e-09
Nearest Class Center Accuracy: 0.484125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006675185635685921
Linear Weight Rank: 4
Intra Cos: 0.9999732375144958
Inter Cos: 0.9999790787696838
Norm Quadratic Average: 1.4140919546434816e-09
Nearest Class Center Accuracy: 0.26375

Output Layer:
Intra Cos: 0.9999998211860657
Inter Cos: 1.0
Norm Quadratic Average: 4.928095975742508e-08
Nearest Class Center Accuracy: 0.26375

Test Set:
Average Loss: 1.3866773643493653
Accuracy: 0.257
NC1 Within Class Collapse: 2.2560322284698486
NC2 Equinorm: Features: 0.15500298142433167, Weights: 0.02329622395336628
NC2 Equiangle: Features: 0.33261581261952716, Weights: 0.27713648478190106
NC3 Self-Duality: 2.21160888671875
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.046308208256959915
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04606717824935913
Linear Weight Rank: 179
Intra Cos: 0.05193161591887474
Inter Cos: 0.0028437271248549223
Norm Quadratic Average: 0.027392826974391937
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04596719890832901
Linear Weight Rank: 179
Intra Cos: 0.05605201795697212
Inter Cos: 0.0031247937586158514
Norm Quadratic Average: 6.357287202263251e-05
Nearest Class Center Accuracy: 0.7395

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045813411474227905
Linear Weight Rank: 179
Intra Cos: 0.04553502798080444
Inter Cos: 0.004544699564576149
Norm Quadratic Average: 1.5386267193662206e-07
Nearest Class Center Accuracy: 0.677

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04590761661529541
Linear Weight Rank: 180
Intra Cos: 0.4258565306663513
Inter Cos: 0.4139653444290161
Norm Quadratic Average: 4.674660658565699e-10
Nearest Class Center Accuracy: 0.532

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006675185635685921
Linear Weight Rank: 4
Intra Cos: 0.9996855854988098
Inter Cos: 0.9997842311859131
Norm Quadratic Average: 4.176572143688162e-10
Nearest Class Center Accuracy: 0.257

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.000000238418579
Norm Quadratic Average: 9.856192306756384e-09
Nearest Class Center Accuracy: 0.257

