Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_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: 5.154637336730957
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.264657974243164
Linear Weight Rank: 180
Intra Cos: 0.02913111448287964
Inter Cos: -0.004747150000184774
Norm Quadratic Average: 8.735660552978516
Nearest Class Center Accuracy: 0.592125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.19217586517334
Linear Weight Rank: 180
Intra Cos: 0.031111909076571465
Inter Cos: -0.006508436519652605
Norm Quadratic Average: 8.71589469909668
Nearest Class Center Accuracy: 0.629375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.160234451293945
Linear Weight Rank: 180
Intra Cos: 0.03537005931138992
Inter Cos: -0.008693934418261051
Norm Quadratic Average: 8.697746276855469
Nearest Class Center Accuracy: 0.70625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.106929302215576
Linear Weight Rank: 180
Intra Cos: 0.05056491121649742
Inter Cos: -0.010545266792178154
Norm Quadratic Average: 8.673622131347656
Nearest Class Center Accuracy: 0.803875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.089314937591553
Linear Weight Rank: 180
Intra Cos: 0.0669456347823143
Inter Cos: -0.015254843980073929
Norm Quadratic Average: 8.674324035644531
Nearest Class Center Accuracy: 0.9165

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057023048400879
Linear Weight Rank: 180
Intra Cos: 0.12365439534187317
Inter Cos: -0.03417304903268814
Norm Quadratic Average: 8.661334991455078
Nearest Class Center Accuracy: 0.991625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048190593719482
Linear Weight Rank: 179
Intra Cos: 0.2649522125720978
Inter Cos: -0.07481161504983902
Norm Quadratic Average: 8.690173149108887
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.943244218826294
Linear Weight Rank: 4
Intra Cos: 0.6023885607719421
Inter Cos: -0.15831342339515686
Norm Quadratic Average: 8.947590827941895
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9622407555580139
Inter Cos: -0.24086856842041016
Norm Quadratic Average: 7.5133562088012695
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9976340141296387
Accuracy: 0.7155
NC1 Within Class Collapse: 3.5551180839538574
NC2 Equinorm: Features: 0.09305212646722794, Weights: 0.042215440422296524
NC2 Equiangle: Features: 0.07663431763648987, Weights: 0.04683861633141836
NC3 Self-Duality: 0.1538122147321701
NC4 NCC Mismatch: 0.028000000000000025

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.154637336730957
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.264657974243164
Linear Weight Rank: 180
Intra Cos: 0.026688681915402412
Inter Cos: -0.0047202506102621555
Norm Quadratic Average: 8.745466232299805
Nearest Class Center Accuracy: 0.5905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.19217586517334
Linear Weight Rank: 180
Intra Cos: 0.026838775724172592
Inter Cos: -0.005938377231359482
Norm Quadratic Average: 8.710018157958984
Nearest Class Center Accuracy: 0.63

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.160234451293945
Linear Weight Rank: 180
Intra Cos: 0.02736157551407814
Inter Cos: -0.007179919630289078
Norm Quadratic Average: 8.66552448272705
Nearest Class Center Accuracy: 0.664

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.106929302215576
Linear Weight Rank: 180
Intra Cos: 0.03406008705496788
Inter Cos: -0.005907638464123011
Norm Quadratic Average: 8.59215259552002
Nearest Class Center Accuracy: 0.688

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.089314937591553
Linear Weight Rank: 180
Intra Cos: 0.03962186723947525
Inter Cos: -0.007449600379914045
Norm Quadratic Average: 8.547320365905762
Nearest Class Center Accuracy: 0.7

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057023048400879
Linear Weight Rank: 180
Intra Cos: 0.05639765411615372
Inter Cos: -0.006557931192219257
Norm Quadratic Average: 8.438837051391602
Nearest Class Center Accuracy: 0.715

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048190593719482
Linear Weight Rank: 179
Intra Cos: 0.09428896754980087
Inter Cos: -0.0073485723696649075
Norm Quadratic Average: 8.23621940612793
Nearest Class Center Accuracy: 0.723

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.943244218826294
Linear Weight Rank: 4
Intra Cos: 0.19854089617729187
Inter Cos: -0.04154647886753082
Norm Quadratic Average: 7.9083333015441895
Nearest Class Center Accuracy: 0.717

Output Layer:
Intra Cos: 0.3831876218318939
Inter Cos: -0.09831084311008453
Norm Quadratic Average: 6.100440979003906
Nearest Class Center Accuracy: 0.713

