Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.412116527557373
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 6.370488166809082
Linear Weight Rank: 180
Intra Cos: 0.07727955281734467
Inter Cos: 0.003601431380957365
Norm Quadratic Average: 10.938974380493164
Nearest Class Center Accuracy: 0.874625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.332310199737549
Linear Weight Rank: 180
Intra Cos: 0.120122529566288
Inter Cos: 0.003454729914665222
Norm Quadratic Average: 10.931028366088867
Nearest Class Center Accuracy: 0.928875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.338393688201904
Linear Weight Rank: 180
Intra Cos: 0.15308697521686554
Inter Cos: -0.0019529061391949654
Norm Quadratic Average: 10.925201416015625
Nearest Class Center Accuracy: 0.964625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309398651123047
Linear Weight Rank: 179
Intra Cos: 0.2322181612253189
Inter Cos: -0.016583187505602837
Norm Quadratic Average: 10.86896800994873
Nearest Class Center Accuracy: 0.999125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1549570560455322
Linear Weight Rank: 4
Intra Cos: 0.45319342613220215
Inter Cos: -0.06898424029350281
Norm Quadratic Average: 11.017109870910645
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9386070966720581
Inter Cos: -0.10892690718173981
Norm Quadratic Average: 9.31694507598877
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2641659488677979
Accuracy: 0.8965
NC1 Within Class Collapse: 1.1746842861175537
NC2 Equinorm: Features: 0.015514287166297436, Weights: 0.03011057712137699
NC2 Equiangle: Features: 0.2616148789723714, Weights: 0.09412898619969685
NC3 Self-Duality: 0.1870165318250656
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.412116527557373
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: 6.370488166809082
Linear Weight Rank: 180
Intra Cos: 0.07813211530447006
Inter Cos: 0.0023966748267412186
Norm Quadratic Average: 10.919063568115234
Nearest Class Center Accuracy: 0.8735

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.332310199737549
Linear Weight Rank: 180
Intra Cos: 0.11593224108219147
Inter Cos: -0.001008179155178368
Norm Quadratic Average: 10.958782196044922
Nearest Class Center Accuracy: 0.909

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.338393688201904
Linear Weight Rank: 180
Intra Cos: 0.1389043629169464
Inter Cos: 0.0037627562414854765
Norm Quadratic Average: 10.974946022033691
Nearest Class Center Accuracy: 0.903

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.309398651123047
Linear Weight Rank: 179
Intra Cos: 0.19336113333702087
Inter Cos: -0.002104646060615778
Norm Quadratic Average: 10.896525382995605
Nearest Class Center Accuracy: 0.9125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1549570560455322
Linear Weight Rank: 4
Intra Cos: 0.3337502181529999
Inter Cos: -0.03875594213604927
Norm Quadratic Average: 10.850427627563477
Nearest Class Center Accuracy: 0.9035

Output Layer:
Intra Cos: 0.7329288721084595
Inter Cos: -0.05238407477736473
Norm Quadratic Average: 8.929170608520508
Nearest Class Center Accuracy: 0.902

