Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.05885124206543
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140520095825195
Linear Weight Rank: 179
Intra Cos: 0.07546709477901459
Inter Cos: 0.006056806538254023
Norm Quadratic Average: 13.890311241149902
Nearest Class Center Accuracy: 0.866375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127923011779785
Linear Weight Rank: 179
Intra Cos: 0.10260076820850372
Inter Cos: 0.007563360966742039
Norm Quadratic Average: 13.868038177490234
Nearest Class Center Accuracy: 0.911625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052419662475586
Linear Weight Rank: 179
Intra Cos: 0.12542378902435303
Inter Cos: 0.00323364301584661
Norm Quadratic Average: 13.851356506347656
Nearest Class Center Accuracy: 0.941625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04769229888916
Linear Weight Rank: 179
Intra Cos: 0.14583662152290344
Inter Cos: -0.0006346484879031777
Norm Quadratic Average: 13.818326950073242
Nearest Class Center Accuracy: 0.966875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060023307800293
Linear Weight Rank: 180
Intra Cos: 0.18313077092170715
Inter Cos: 0.002347541507333517
Norm Quadratic Average: 13.799681663513184
Nearest Class Center Accuracy: 0.989875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034646034240723
Linear Weight Rank: 180
Intra Cos: 0.2392377108335495
Inter Cos: -0.004628883674740791
Norm Quadratic Average: 13.7766752243042
Nearest Class Center Accuracy: 0.999625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026081085205078
Linear Weight Rank: 179
Intra Cos: 0.3327416479587555
Inter Cos: -0.04576757922768593
Norm Quadratic Average: 13.763635635375977
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0811452865600586
Linear Weight Rank: 4
Intra Cos: 0.49020665884017944
Inter Cos: -0.09047486633062363
Norm Quadratic Average: 13.92154598236084
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9614108800888062
Inter Cos: -0.1426822394132614
Norm Quadratic Average: 11.0762939453125
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.4169750633239746
Accuracy: 0.871
NC1 Within Class Collapse: 1.2359449863433838
NC2 Equinorm: Features: 0.019065871834754944, Weights: 0.038821104913949966
NC2 Equiangle: Features: 0.22455875078837076, Weights: 0.13623921076456705
NC3 Self-Duality: 0.23803956806659698
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.05885124206543
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140520095825195
Linear Weight Rank: 179
Intra Cos: 0.07690342515707016
Inter Cos: 0.007225113455206156
Norm Quadratic Average: 13.869722366333008
Nearest Class Center Accuracy: 0.8725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.127923011779785
Linear Weight Rank: 179
Intra Cos: 0.0976758673787117
Inter Cos: 0.0013324073515832424
Norm Quadratic Average: 13.891106605529785
Nearest Class Center Accuracy: 0.894

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.052419662475586
Linear Weight Rank: 179
Intra Cos: 0.1161075159907341
Inter Cos: 0.0035861902870237827
Norm Quadratic Average: 13.850624084472656
Nearest Class Center Accuracy: 0.904

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04769229888916
Linear Weight Rank: 179
Intra Cos: 0.13654667139053345
Inter Cos: -0.0008722825441509485
Norm Quadratic Average: 13.828947067260742
Nearest Class Center Accuracy: 0.894

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060023307800293
Linear Weight Rank: 180
Intra Cos: 0.15738826990127563
Inter Cos: 0.0009734781924635172
Norm Quadratic Average: 13.775130271911621
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034646034240723
Linear Weight Rank: 180
Intra Cos: 0.19126679003238678
Inter Cos: -0.0020159061532467604
Norm Quadratic Average: 13.653290748596191
Nearest Class Center Accuracy: 0.8915

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026081085205078
Linear Weight Rank: 179
Intra Cos: 0.23289373517036438
Inter Cos: -0.01777672953903675
Norm Quadratic Average: 13.489249229431152
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0811452865600586
Linear Weight Rank: 4
Intra Cos: 0.3354170620441437
Inter Cos: -0.04441305622458458
Norm Quadratic Average: 13.348990440368652
Nearest Class Center Accuracy: 0.88

Output Layer:
Intra Cos: 0.7063248753547668
Inter Cos: -0.05859524384140968
Norm Quadratic Average: 10.224302291870117
Nearest Class Center Accuracy: 0.877

