Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.182258605957031
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 7.164309978485107
Linear Weight Rank: 180
Intra Cos: 0.0708886981010437
Inter Cos: 0.002598789054900408
Norm Quadratic Average: 12.25009536743164
Nearest Class Center Accuracy: 0.862875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114468097686768
Linear Weight Rank: 179
Intra Cos: 0.10959505289793015
Inter Cos: 0.002778582274913788
Norm Quadratic Average: 12.210063934326172
Nearest Class Center Accuracy: 0.92025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1170244216918945
Linear Weight Rank: 180
Intra Cos: 0.12734223902225494
Inter Cos: -0.0009515546262264252
Norm Quadratic Average: 12.185301780700684
Nearest Class Center Accuracy: 0.92975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079049587249756
Linear Weight Rank: 179
Intra Cos: 0.15496928989887238
Inter Cos: 0.0013050150591880083
Norm Quadratic Average: 12.151561737060547
Nearest Class Center Accuracy: 0.971625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.089423179626465
Linear Weight Rank: 179
Intra Cos: 0.2007078379392624
Inter Cos: 0.001561040640808642
Norm Quadratic Average: 12.144867897033691
Nearest Class Center Accuracy: 0.98975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0656962394714355
Linear Weight Rank: 179
Intra Cos: 0.25439876317977905
Inter Cos: -0.025479447096586227
Norm Quadratic Average: 12.11542797088623
Nearest Class Center Accuracy: 0.998125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0619072914123535
Linear Weight Rank: 180
Intra Cos: 0.35551363229751587
Inter Cos: -0.04152752086520195
Norm Quadratic Average: 12.149262428283691
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.925907850265503
Linear Weight Rank: 4
Intra Cos: 0.5319796800613403
Inter Cos: -0.10129868239164352
Norm Quadratic Average: 12.30235481262207
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9650529026985168
Inter Cos: -0.12472745776176453
Norm Quadratic Average: 9.462162971496582
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.34503521823883054
Accuracy: 0.8835
NC1 Within Class Collapse: 1.1102532148361206
NC2 Equinorm: Features: 0.013577091507613659, Weights: 0.05042065680027008
NC2 Equiangle: Features: 0.21833711862564087, Weights: 0.11630716919898987
NC3 Self-Duality: 0.21300363540649414
NC4 NCC Mismatch: 0.01649999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.182258605957031
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: 7.164309978485107
Linear Weight Rank: 180
Intra Cos: 0.07203831523656845
Inter Cos: 0.003680691821500659
Norm Quadratic Average: 12.22922420501709
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114468097686768
Linear Weight Rank: 179
Intra Cos: 0.1053205206990242
Inter Cos: 0.002747182035818696
Norm Quadratic Average: 12.205517768859863
Nearest Class Center Accuracy: 0.903

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1170244216918945
Linear Weight Rank: 180
Intra Cos: 0.11942749470472336
Inter Cos: 0.0042981975711882114
Norm Quadratic Average: 12.182429313659668
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.079049587249756
Linear Weight Rank: 179
Intra Cos: 0.13594654202461243
Inter Cos: 0.000502943410538137
Norm Quadratic Average: 12.150067329406738
Nearest Class Center Accuracy: 0.8955

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.089423179626465
Linear Weight Rank: 179
Intra Cos: 0.16324849426746368
Inter Cos: -0.001843626843765378
Norm Quadratic Average: 12.166831016540527
Nearest Class Center Accuracy: 0.8865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0656962394714355
Linear Weight Rank: 179
Intra Cos: 0.19495442509651184
Inter Cos: -0.011077831499278545
Norm Quadratic Average: 12.100931167602539
Nearest Class Center Accuracy: 0.889

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0619072914123535
Linear Weight Rank: 180
Intra Cos: 0.25557559728622437
Inter Cos: -0.016125597059726715
Norm Quadratic Average: 11.96306037902832
Nearest Class Center Accuracy: 0.896

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.925907850265503
Linear Weight Rank: 4
Intra Cos: 0.36399707198143005
Inter Cos: -0.036273010075092316
Norm Quadratic Average: 11.770834922790527
Nearest Class Center Accuracy: 0.8865

Output Layer:
Intra Cos: 0.723789632320404
Inter Cos: -0.021413002163171768
Norm Quadratic Average: 8.690074920654297
Nearest Class Center Accuracy: 0.8865

