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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.253010749816895
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: 8.21955680847168
Linear Weight Rank: 180
Intra Cos: 0.0702909603714943
Inter Cos: 0.002351045608520508
Norm Quadratic Average: 14.080098152160645
Nearest Class Center Accuracy: 0.862375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167441368103027
Linear Weight Rank: 180
Intra Cos: 0.1077437549829483
Inter Cos: 0.0028397017158567905
Norm Quadratic Average: 14.033164024353027
Nearest Class Center Accuracy: 0.91525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.173489570617676
Linear Weight Rank: 180
Intra Cos: 0.12075816839933395
Inter Cos: -0.0005056714871898293
Norm Quadratic Average: 14.014004707336426
Nearest Class Center Accuracy: 0.9295

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13232421875
Linear Weight Rank: 179
Intra Cos: 0.1450337916612625
Inter Cos: -0.001194570679217577
Norm Quadratic Average: 13.993599891662598
Nearest Class Center Accuracy: 0.969625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146195411682129
Linear Weight Rank: 180
Intra Cos: 0.18501906096935272
Inter Cos: 0.0010330540826544166
Norm Quadratic Average: 13.992413520812988
Nearest Class Center Accuracy: 0.988625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11976146697998
Linear Weight Rank: 179
Intra Cos: 0.22913263738155365
Inter Cos: -0.02075459621846676
Norm Quadratic Average: 13.954378128051758
Nearest Class Center Accuracy: 0.997625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11584186553955
Linear Weight Rank: 180
Intra Cos: 0.31901687383651733
Inter Cos: -0.040187202394008636
Norm Quadratic Average: 13.957088470458984
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0797972679138184
Linear Weight Rank: 4
Intra Cos: 0.4707903265953064
Inter Cos: -0.09015092253684998
Norm Quadratic Average: 14.0841064453125
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9571355581283569
Inter Cos: -0.09838005155324936
Norm Quadratic Average: 11.108022689819336
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3877395095825195
Accuracy: 0.8775
NC1 Within Class Collapse: 1.1850478649139404
NC2 Equinorm: Features: 0.014908119104802608, Weights: 0.05320754274725914
NC2 Equiangle: Features: 0.236008882522583, Weights: 0.13360008597373962
NC3 Self-Duality: 0.23589842021465302
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.253010749816895
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: 8.21955680847168
Linear Weight Rank: 180
Intra Cos: 0.07139304280281067
Inter Cos: 0.003752698190510273
Norm Quadratic Average: 14.054670333862305
Nearest Class Center Accuracy: 0.8645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167441368103027
Linear Weight Rank: 180
Intra Cos: 0.10405581444501877
Inter Cos: 0.002862733555957675
Norm Quadratic Average: 14.023624420166016
Nearest Class Center Accuracy: 0.906

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.173489570617676
Linear Weight Rank: 180
Intra Cos: 0.11449593305587769
Inter Cos: 0.006249707657843828
Norm Quadratic Average: 14.012680053710938
Nearest Class Center Accuracy: 0.889

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13232421875
Linear Weight Rank: 179
Intra Cos: 0.128511443734169
Inter Cos: -0.002234448678791523
Norm Quadratic Average: 13.992621421813965
Nearest Class Center Accuracy: 0.891

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146195411682129
Linear Weight Rank: 180
Intra Cos: 0.15330785512924194
Inter Cos: -0.00010926075628958642
Norm Quadratic Average: 14.018762588500977
Nearest Class Center Accuracy: 0.8885

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11976146697998
Linear Weight Rank: 179
Intra Cos: 0.179549440741539
Inter Cos: -0.006500863470137119
Norm Quadratic Average: 13.935011863708496
Nearest Class Center Accuracy: 0.8845

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11584186553955
Linear Weight Rank: 180
Intra Cos: 0.23013204336166382
Inter Cos: -0.015651611611247063
Norm Quadratic Average: 13.759507179260254
Nearest Class Center Accuracy: 0.887

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0797972679138184
Linear Weight Rank: 4
Intra Cos: 0.3284732699394226
Inter Cos: -0.03201019763946533
Norm Quadratic Average: 13.576632499694824
Nearest Class Center Accuracy: 0.8795

Output Layer:
Intra Cos: 0.7037609219551086
Inter Cos: -0.024008985608816147
Norm Quadratic Average: 10.308659553527832
Nearest Class Center Accuracy: 0.879

