Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.393438339233398
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: 5.460760116577148
Linear Weight Rank: 179
Intra Cos: 0.17131862044334412
Inter Cos: 0.006115291267633438
Norm Quadratic Average: 3.3780441284179688
Nearest Class Center Accuracy: 0.95275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.462157249450684
Linear Weight Rank: 179
Intra Cos: 0.5972561836242676
Inter Cos: 0.0444122813642025
Norm Quadratic Average: 2.647395133972168
Nearest Class Center Accuracy: 0.957625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.463502407073975
Linear Weight Rank: 179
Intra Cos: 0.6880761981010437
Inter Cos: 0.08209008723497391
Norm Quadratic Average: 3.5677239894866943
Nearest Class Center Accuracy: 0.948625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.493951797485352
Linear Weight Rank: 179
Intra Cos: 0.7162657976150513
Inter Cos: 0.07768711447715759
Norm Quadratic Average: 4.967008590698242
Nearest Class Center Accuracy: 0.959375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.653296947479248
Linear Weight Rank: 4
Intra Cos: 0.7329327464103699
Inter Cos: 0.06574423611164093
Norm Quadratic Average: 6.716543674468994
Nearest Class Center Accuracy: 0.96675

Output Layer:
Intra Cos: 0.8196097016334534
Inter Cos: 0.07884185761213303
Norm Quadratic Average: 11.567719459533691
Nearest Class Center Accuracy: 0.97325

Test Set:
Average Loss: 0.08492823696136474
Accuracy: 0.9775
NC1 Within Class Collapse: 1.6129469871520996
NC2 Equinorm: Features: 0.05657658725976944, Weights: 0.06548230350017548
NC2 Equiangle: Features: 0.43070514996846515, Weights: 0.3941965103149414
NC3 Self-Duality: 0.07257767766714096
NC4 NCC Mismatch: 0.03300000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.393438339233398
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: 5.460760116577148
Linear Weight Rank: 179
Intra Cos: 0.16837993264198303
Inter Cos: 0.010023432783782482
Norm Quadratic Average: 3.3826591968536377
Nearest Class Center Accuracy: 0.944

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.462157249450684
Linear Weight Rank: 179
Intra Cos: 0.6124412417411804
Inter Cos: 0.06675130873918533
Norm Quadratic Average: 2.677372932434082
Nearest Class Center Accuracy: 0.9555

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.463502407073975
Linear Weight Rank: 179
Intra Cos: 0.7031116485595703
Inter Cos: 0.1058090403676033
Norm Quadratic Average: 3.6074740886688232
Nearest Class Center Accuracy: 0.9405

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.493951797485352
Linear Weight Rank: 179
Intra Cos: 0.717181384563446
Inter Cos: 0.10297475010156631
Norm Quadratic Average: 5.017435073852539
Nearest Class Center Accuracy: 0.9505

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.653296947479248
Linear Weight Rank: 4
Intra Cos: 0.7309389114379883
Inter Cos: 0.09283856302499771
Norm Quadratic Average: 6.775166988372803
Nearest Class Center Accuracy: 0.9595

Output Layer:
Intra Cos: 0.8111903071403503
Inter Cos: 0.06084863841533661
Norm Quadratic Average: 11.627631187438965
Nearest Class Center Accuracy: 0.9655

