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_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.034774780273438
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 8.070697784423828
Linear Weight Rank: 180
Intra Cos: 0.07093170285224915
Inter Cos: 0.002957802265882492
Norm Quadratic Average: 13.791122436523438
Nearest Class Center Accuracy: 0.854

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012778282165527
Linear Weight Rank: 180
Intra Cos: 0.10507001727819443
Inter Cos: 0.00435424130409956
Norm Quadratic Average: 13.767619132995605
Nearest Class Center Accuracy: 0.916125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9815263748168945
Linear Weight Rank: 179
Intra Cos: 0.1302678883075714
Inter Cos: 0.008146150968968868
Norm Quadratic Average: 13.739880561828613
Nearest Class Center Accuracy: 0.939125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991847991943359
Linear Weight Rank: 180
Intra Cos: 0.15063799917697906
Inter Cos: 0.010200263932347298
Norm Quadratic Average: 13.702897071838379
Nearest Class Center Accuracy: 0.960875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9925150871276855
Linear Weight Rank: 180
Intra Cos: 0.1709013730287552
Inter Cos: -0.0057744234800338745
Norm Quadratic Average: 13.672955513000488
Nearest Class Center Accuracy: 0.98475

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970578670501709
Linear Weight Rank: 180
Intra Cos: 0.2174237221479416
Inter Cos: -0.013243075460195541
Norm Quadratic Average: 13.662920951843262
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.990173816680908
Linear Weight Rank: 179
Intra Cos: 0.2920635938644409
Inter Cos: -0.037867769598960876
Norm Quadratic Average: 13.631950378417969
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.032057762145996
Linear Weight Rank: 4
Intra Cos: 0.4445747137069702
Inter Cos: -0.10039126873016357
Norm Quadratic Average: 13.769671440124512
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9606842994689941
Inter Cos: -0.14544039964675903
Norm Quadratic Average: 10.636486053466797
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3855050849914551
Accuracy: 0.884
NC1 Within Class Collapse: 1.2190587520599365
NC2 Equinorm: Features: 0.01437701378017664, Weights: 0.04091908410191536
NC2 Equiangle: Features: 0.2389234701792399, Weights: 0.1019090215365092
NC3 Self-Duality: 0.22422318160533905
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.034774780273438
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 8.070697784423828
Linear Weight Rank: 180
Intra Cos: 0.07278885692358017
Inter Cos: 0.004151463974267244
Norm Quadratic Average: 13.781282424926758
Nearest Class Center Accuracy: 0.8545

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012778282165527
Linear Weight Rank: 180
Intra Cos: 0.10281284898519516
Inter Cos: 0.007352412212640047
Norm Quadratic Average: 13.768657684326172
Nearest Class Center Accuracy: 0.8885

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9815263748168945
Linear Weight Rank: 179
Intra Cos: 0.12319673597812653
Inter Cos: 0.012296519242227077
Norm Quadratic Average: 13.761226654052734
Nearest Class Center Accuracy: 0.895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991847991943359
Linear Weight Rank: 180
Intra Cos: 0.14450711011886597
Inter Cos: 0.014365432783961296
Norm Quadratic Average: 13.71445083618164
Nearest Class Center Accuracy: 0.8945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9925150871276855
Linear Weight Rank: 180
Intra Cos: 0.1549418717622757
Inter Cos: 0.0002343903761357069
Norm Quadratic Average: 13.605937957763672
Nearest Class Center Accuracy: 0.8945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970578670501709
Linear Weight Rank: 180
Intra Cos: 0.1827811598777771
Inter Cos: -0.004959764424711466
Norm Quadratic Average: 13.484600067138672
Nearest Class Center Accuracy: 0.8925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.990173816680908
Linear Weight Rank: 179
Intra Cos: 0.23015758395195007
Inter Cos: -0.019991882145404816
Norm Quadratic Average: 13.355113983154297
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.032057762145996
Linear Weight Rank: 4
Intra Cos: 0.33052587509155273
Inter Cos: -0.044162601232528687
Norm Quadratic Average: 13.177002906799316
Nearest Class Center Accuracy: 0.886

Output Layer:
Intra Cos: 0.7064586281776428
Inter Cos: -0.06105683371424675
Norm Quadratic Average: 9.81994915008545
Nearest Class Center Accuracy: 0.8835

