Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.98753547668457
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.884144306182861
Linear Weight Rank: 179
Intra Cos: 0.05920545011758804
Inter Cos: 0.005232939962297678
Norm Quadratic Average: 4.6843132972717285
Nearest Class Center Accuracy: 0.80725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.865974426269531
Linear Weight Rank: 179
Intra Cos: 0.06030312180519104
Inter Cos: 0.005657050292938948
Norm Quadratic Average: 1.7152663469314575
Nearest Class Center Accuracy: 0.726875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890303611755371
Linear Weight Rank: 180
Intra Cos: 0.060418326407670975
Inter Cos: 0.008031779900193214
Norm Quadratic Average: 0.6326607465744019
Nearest Class Center Accuracy: 0.6735

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862990856170654
Linear Weight Rank: 180
Intra Cos: 0.06355717778205872
Inter Cos: 0.010779401287436485
Norm Quadratic Average: 0.23842477798461914
Nearest Class Center Accuracy: 0.680125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883963108062744
Linear Weight Rank: 180
Intra Cos: 0.0624639131128788
Inter Cos: 0.008726921863853931
Norm Quadratic Average: 0.09544101357460022
Nearest Class Center Accuracy: 0.63725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86411190032959
Linear Weight Rank: 180
Intra Cos: 0.07040072977542877
Inter Cos: 0.023097751662135124
Norm Quadratic Average: 0.03868559002876282
Nearest Class Center Accuracy: 0.616875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86338472366333
Linear Weight Rank: 180
Intra Cos: 0.07649359852075577
Inter Cos: 0.021354878321290016
Norm Quadratic Average: 0.014674241654574871
Nearest Class Center Accuracy: 0.602375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.127366304397583
Linear Weight Rank: 4
Intra Cos: 0.0858045220375061
Inter Cos: 0.019194234162569046
Norm Quadratic Average: 0.0062670581974089146
Nearest Class Center Accuracy: 0.605

Output Layer:
Intra Cos: 0.1346876323223114
Inter Cos: 0.056677985936403275
Norm Quadratic Average: 0.0009790989570319653
Nearest Class Center Accuracy: 0.568875

Test Set:
Average Loss: 1.3871305313110351
Accuracy: 0.257
NC1 Within Class Collapse: 43.15632629394531
NC2 Equinorm: Features: 0.3555392920970917, Weights: 0.055346112698316574
NC2 Equiangle: Features: 0.43489015102386475, Weights: 0.31730031967163086
NC3 Self-Duality: 1.5272730588912964
NC4 NCC Mismatch: 0.7105

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.98753547668457
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.884144306182861
Linear Weight Rank: 179
Intra Cos: 0.060845084488391876
Inter Cos: 0.0026366685051470995
Norm Quadratic Average: 4.675343036651611
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.865974426269531
Linear Weight Rank: 179
Intra Cos: 0.05955096334218979
Inter Cos: 0.00507232965901494
Norm Quadratic Average: 1.7109853029251099
Nearest Class Center Accuracy: 0.742

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890303611755371
Linear Weight Rank: 180
Intra Cos: 0.06181997060775757
Inter Cos: 0.010622795671224594
Norm Quadratic Average: 0.631780743598938
Nearest Class Center Accuracy: 0.702

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862990856170654
Linear Weight Rank: 180
Intra Cos: 0.06510119885206223
Inter Cos: 0.007385697681456804
Norm Quadratic Average: 0.2378433644771576
Nearest Class Center Accuracy: 0.7045

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883963108062744
Linear Weight Rank: 180
Intra Cos: 0.06256595999002457
Inter Cos: 0.017366865649819374
Norm Quadratic Average: 0.0952301025390625
Nearest Class Center Accuracy: 0.661

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86411190032959
Linear Weight Rank: 180
Intra Cos: 0.07093167304992676
Inter Cos: 0.03397898003458977
Norm Quadratic Average: 0.03881382569670677
Nearest Class Center Accuracy: 0.6335

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.86338472366333
Linear Weight Rank: 180
Intra Cos: 0.07775071263313293
Inter Cos: 0.03434966877102852
Norm Quadratic Average: 0.014707856811583042
Nearest Class Center Accuracy: 0.611

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.127366304397583
Linear Weight Rank: 4
Intra Cos: 0.08640000969171524
Inter Cos: 0.032930999994277954
Norm Quadratic Average: 0.0062891822308301926
Nearest Class Center Accuracy: 0.613

Output Layer:
Intra Cos: 0.15215124189853668
Inter Cos: 0.08127783238887787
Norm Quadratic Average: 0.0009859021520242095
Nearest Class Center Accuracy: 0.577

