Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.377963542938232
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.323394775390625
Linear Weight Rank: 179
Intra Cos: 0.02982894517481327
Inter Cos: -0.005610779393464327
Norm Quadratic Average: 4.452864170074463
Nearest Class Center Accuracy: 0.5895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.320829391479492
Linear Weight Rank: 179
Intra Cos: 0.0913907065987587
Inter Cos: -0.019330143928527832
Norm Quadratic Average: 2.1471986770629883
Nearest Class Center Accuracy: 0.642625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.371671676635742
Linear Weight Rank: 179
Intra Cos: 0.17363566160202026
Inter Cos: -0.03576768562197685
Norm Quadratic Average: 1.7150920629501343
Nearest Class Center Accuracy: 0.661875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.355072498321533
Linear Weight Rank: 179
Intra Cos: 0.21507441997528076
Inter Cos: -0.02692469023168087
Norm Quadratic Average: 1.8724900484085083
Nearest Class Center Accuracy: 0.67475

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3714728355407715
Linear Weight Rank: 4
Intra Cos: 0.22597308456897736
Inter Cos: -0.010364695452153683
Norm Quadratic Average: 2.261137008666992
Nearest Class Center Accuracy: 0.679875

Output Layer:
Intra Cos: 0.22765766084194183
Inter Cos: 0.021687576547265053
Norm Quadratic Average: 2.9203171730041504
Nearest Class Center Accuracy: 0.657875

Test Set:
Average Loss: 0.7937426338195801
Accuracy: 0.664
NC1 Within Class Collapse: 7.662953853607178
NC2 Equinorm: Features: 0.17385174334049225, Weights: 0.10067598521709442
NC2 Equiangle: Features: 0.2740349769592285, Weights: 0.14439380168914795
NC3 Self-Duality: 0.16732026636600494
NC4 NCC Mismatch: 0.08550000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.377963542938232
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 7.323394775390625
Linear Weight Rank: 179
Intra Cos: 0.027936002239584923
Inter Cos: -0.004545040428638458
Norm Quadratic Average: 4.443160057067871
Nearest Class Center Accuracy: 0.604

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.320829391479492
Linear Weight Rank: 179
Intra Cos: 0.08329670876264572
Inter Cos: -0.019088931381702423
Norm Quadratic Average: 2.135054349899292
Nearest Class Center Accuracy: 0.628

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.371671676635742
Linear Weight Rank: 179
Intra Cos: 0.15033400058746338
Inter Cos: -0.029227042570710182
Norm Quadratic Average: 1.7031183242797852
Nearest Class Center Accuracy: 0.6485

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.355072498321533
Linear Weight Rank: 179
Intra Cos: 0.18418586254119873
Inter Cos: -0.020983872935175896
Norm Quadratic Average: 1.8574906587600708
Nearest Class Center Accuracy: 0.6605

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3714728355407715
Linear Weight Rank: 4
Intra Cos: 0.196695014834404
Inter Cos: -0.0012715869816020131
Norm Quadratic Average: 2.240612506866455
Nearest Class Center Accuracy: 0.6635

Output Layer:
Intra Cos: 0.20590350031852722
Inter Cos: 0.025022832676768303
Norm Quadratic Average: 2.8901009559631348
Nearest Class Center Accuracy: 0.64

