Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.065230846405029
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.116727352142334
Linear Weight Rank: 179
Intra Cos: 0.0835101380944252
Inter Cos: 0.006555167026817799
Norm Quadratic Average: 8.753119468688965
Nearest Class Center Accuracy: 0.875625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.103543758392334
Linear Weight Rank: 179
Intra Cos: 0.12435682862997055
Inter Cos: 0.009109093807637691
Norm Quadratic Average: 8.743843078613281
Nearest Class Center Accuracy: 0.9165

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.050766944885254
Linear Weight Rank: 179
Intra Cos: 0.16336795687675476
Inter Cos: 0.0014227057108655572
Norm Quadratic Average: 8.681502342224121
Nearest Class Center Accuracy: 0.967875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0486931800842285
Linear Weight Rank: 179
Intra Cos: 0.26534751057624817
Inter Cos: -0.020578688010573387
Norm Quadratic Average: 8.652003288269043
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9917415380477905
Linear Weight Rank: 4
Intra Cos: 0.5424248576164246
Inter Cos: -0.0964469388127327
Norm Quadratic Average: 8.822619438171387
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9560040831565857
Inter Cos: -0.12938973307609558
Norm Quadratic Average: 7.450475692749023
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24593180274963378
Accuracy: 0.9
NC1 Within Class Collapse: 1.0559173822402954
NC2 Equinorm: Features: 0.018044013530015945, Weights: 0.025110477581620216
NC2 Equiangle: Features: 0.24654545386632284, Weights: 0.07193298141161601
NC3 Self-Duality: 0.16907969117164612
NC4 NCC Mismatch: 0.014499999999999957

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.065230846405029
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 5.116727352142334
Linear Weight Rank: 179
Intra Cos: 0.0846099853515625
Inter Cos: 0.007375347428023815
Norm Quadratic Average: 8.743056297302246
Nearest Class Center Accuracy: 0.8845

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.103543758392334
Linear Weight Rank: 179
Intra Cos: 0.1192471832036972
Inter Cos: 0.003356645815074444
Norm Quadratic Average: 8.766623497009277
Nearest Class Center Accuracy: 0.8945

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.050766944885254
Linear Weight Rank: 179
Intra Cos: 0.15052759647369385
Inter Cos: 0.009448396973311901
Norm Quadratic Average: 8.7036771774292
Nearest Class Center Accuracy: 0.9045

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0486931800842285
Linear Weight Rank: 179
Intra Cos: 0.22565791010856628
Inter Cos: -0.013726710341870785
Norm Quadratic Average: 8.617897987365723
Nearest Class Center Accuracy: 0.922

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9917415380477905
Linear Weight Rank: 4
Intra Cos: 0.4127669930458069
Inter Cos: -0.054834745824337006
Norm Quadratic Average: 8.616748809814453
Nearest Class Center Accuracy: 0.905

Output Layer:
Intra Cos: 0.7675512433052063
Inter Cos: -0.04988735169172287
Norm Quadratic Average: 7.106377601623535
Nearest Class Center Accuracy: 0.904

