Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.1694793701171875
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076638221740723
Linear Weight Rank: 179
Intra Cos: 0.012040091678500175
Inter Cos: 0.003170683979988098
Norm Quadratic Average: 4.197149753570557
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060363292694092
Linear Weight Rank: 179
Intra Cos: 0.009652409702539444
Inter Cos: 0.003435899503529072
Norm Quadratic Average: 1.3748966455459595
Nearest Class Center Accuracy: 0.425875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.082204341888428
Linear Weight Rank: 180
Intra Cos: 0.0088893948122859
Inter Cos: 0.005367920733988285
Norm Quadratic Average: 0.45135948061943054
Nearest Class Center Accuracy: 0.419

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057677745819092
Linear Weight Rank: 180
Intra Cos: 0.008727402426302433
Inter Cos: 0.0035821658093482256
Norm Quadratic Average: 0.15131983160972595
Nearest Class Center Accuracy: 0.40425

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076563358306885
Linear Weight Rank: 180
Intra Cos: 0.00961055513471365
Inter Cos: 0.0031664585694670677
Norm Quadratic Average: 0.054007355123758316
Nearest Class Center Accuracy: 0.3995

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058568477630615
Linear Weight Rank: 180
Intra Cos: 0.009840506128966808
Inter Cos: 0.0020240319427102804
Norm Quadratic Average: 0.018638746812939644
Nearest Class Center Accuracy: 0.3885

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057797431945801
Linear Weight Rank: 180
Intra Cos: 0.008787285536527634
Inter Cos: 0.0022891045082360506
Norm Quadratic Average: 0.006139026023447514
Nearest Class Center Accuracy: 0.373125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.005054235458374
Linear Weight Rank: 4
Intra Cos: 0.008843955583870411
Inter Cos: 0.0033603631891310215
Norm Quadratic Average: 0.002238117391243577
Nearest Class Center Accuracy: 0.371375

Output Layer:
Intra Cos: 0.009096371941268444
Inter Cos: 0.007795682176947594
Norm Quadratic Average: 0.0001488395791966468
Nearest Class Center Accuracy: 0.319625

Test Set:
Average Loss: 1.3836905403137207
Accuracy: 0.2695
NC1 Within Class Collapse: 62.63811492919922
NC2 Equinorm: Features: 0.07683730125427246, Weights: 0.054493360221385956
NC2 Equiangle: Features: 0.22779583930969238, Weights: 0.3215772310892741
NC3 Self-Duality: 1.8182944059371948
NC4 NCC Mismatch: 0.7895

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.1694793701171875
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076638221740723
Linear Weight Rank: 179
Intra Cos: 0.013127000071108341
Inter Cos: 0.00360308145172894
Norm Quadratic Average: 4.193068981170654
Nearest Class Center Accuracy: 0.4645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060363292694092
Linear Weight Rank: 179
Intra Cos: 0.01044265367090702
Inter Cos: 0.0032151476480066776
Norm Quadratic Average: 1.3731410503387451
Nearest Class Center Accuracy: 0.4525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.082204341888428
Linear Weight Rank: 180
Intra Cos: 0.009027479216456413
Inter Cos: 0.003909436520189047
Norm Quadratic Average: 0.4498036801815033
Nearest Class Center Accuracy: 0.4215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057677745819092
Linear Weight Rank: 180
Intra Cos: 0.009043525904417038
Inter Cos: 0.00377414608374238
Norm Quadratic Average: 0.15059810876846313
Nearest Class Center Accuracy: 0.4095

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076563358306885
Linear Weight Rank: 180
Intra Cos: 0.00891698244959116
Inter Cos: 0.0038585166912525892
Norm Quadratic Average: 0.05373411253094673
Nearest Class Center Accuracy: 0.4005

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058568477630615
Linear Weight Rank: 180
Intra Cos: 0.008146007545292377
Inter Cos: 0.002074903342872858
Norm Quadratic Average: 0.01853794790804386
Nearest Class Center Accuracy: 0.3915

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.057797431945801
Linear Weight Rank: 180
Intra Cos: 0.007496788632124662
Inter Cos: 0.0015452553052455187
Norm Quadratic Average: 0.006117424461990595
Nearest Class Center Accuracy: 0.3765

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.005054235458374
Linear Weight Rank: 4
Intra Cos: 0.0075004431419074535
Inter Cos: 0.0018092571990564466
Norm Quadratic Average: 0.00222977576777339
Nearest Class Center Accuracy: 0.368

Output Layer:
Intra Cos: 0.004561738111078739
Inter Cos: 0.008398519828915596
Norm Quadratic Average: 0.0001490659633418545
Nearest Class Center Accuracy: 0.3085

