Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.959956169128418
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: 4.9418134689331055
Linear Weight Rank: 180
Intra Cos: 0.08029886335134506
Inter Cos: 0.004031557124108076
Norm Quadratic Average: 8.458301544189453
Nearest Class Center Accuracy: 0.878875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.904260635375977
Linear Weight Rank: 180
Intra Cos: 0.1273464411497116
Inter Cos: 0.0030474523082375526
Norm Quadratic Average: 8.448221206665039
Nearest Class Center Accuracy: 0.936125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.903519153594971
Linear Weight Rank: 180
Intra Cos: 0.16953042149543762
Inter Cos: -0.005102409049868584
Norm Quadratic Average: 8.442320823669434
Nearest Class Center Accuracy: 0.97375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.87913179397583
Linear Weight Rank: 179
Intra Cos: 0.2778024971485138
Inter Cos: -0.02169000543653965
Norm Quadratic Average: 8.396181106567383
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9611589908599854
Linear Weight Rank: 4
Intra Cos: 0.5749223828315735
Inter Cos: -0.10774050652980804
Norm Quadratic Average: 8.5863618850708
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9584677219390869
Inter Cos: -0.1478903889656067
Norm Quadratic Average: 7.319775581359863
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24947354078292847
Accuracy: 0.9035
NC1 Within Class Collapse: 1.0367215871810913
NC2 Equinorm: Features: 0.012837807647883892, Weights: 0.0295582115650177
NC2 Equiangle: Features: 0.22801244258880615, Weights: 0.06828049818674724
NC3 Self-Duality: 0.1591264009475708
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.959956169128418
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: 4.9418134689331055
Linear Weight Rank: 180
Intra Cos: 0.08107831329107285
Inter Cos: 0.002209811005741358
Norm Quadratic Average: 8.443598747253418
Nearest Class Center Accuracy: 0.878

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.904260635375977
Linear Weight Rank: 180
Intra Cos: 0.12222348153591156
Inter Cos: -0.0014521584380418062
Norm Quadratic Average: 8.473320007324219
Nearest Class Center Accuracy: 0.915

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.903519153594971
Linear Weight Rank: 180
Intra Cos: 0.15242469310760498
Inter Cos: 0.005593177862465382
Norm Quadratic Average: 8.487011909484863
Nearest Class Center Accuracy: 0.912

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.87913179397583
Linear Weight Rank: 179
Intra Cos: 0.22662051022052765
Inter Cos: -0.005613449029624462
Norm Quadratic Average: 8.405027389526367
Nearest Class Center Accuracy: 0.918

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9611589908599854
Linear Weight Rank: 4
Intra Cos: 0.41580724716186523
Inter Cos: -0.057489313185214996
Norm Quadratic Average: 8.34458065032959
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7383144497871399
Inter Cos: -0.07564228773117065
Norm Quadratic Average: 6.899226665496826
Nearest Class Center Accuracy: 0.9045

