Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.45596083998680115
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 0.40655893087387085
Linear Weight Rank: 169
Intra Cos: 0.25321030616760254
Inter Cos: 0.11881423741579056
Norm Quadratic Average: 0.34133538603782654
Nearest Class Center Accuracy: 0.7475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.34560835361480713
Linear Weight Rank: 171
Intra Cos: 0.606907308101654
Inter Cos: 0.27984192967414856
Norm Quadratic Average: 0.26652792096138
Nearest Class Center Accuracy: 0.89375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4177539348602295
Linear Weight Rank: 168
Intra Cos: 0.8798074722290039
Inter Cos: 0.15899558365345
Norm Quadratic Average: 0.25304895639419556
Nearest Class Center Accuracy: 0.996

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6068519353866577
Linear Weight Rank: 164
Intra Cos: 0.9784546494483948
Inter Cos: -0.08805043995380402
Norm Quadratic Average: 0.4482457935810089
Nearest Class Center Accuracy: 0.999875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.072678565979004
Linear Weight Rank: 3
Intra Cos: 0.9863107800483704
Inter Cos: -0.23459969460964203
Norm Quadratic Average: 2.0379295349121094
Nearest Class Center Accuracy: 0.999875

Output Layer:
Intra Cos: 0.985878050327301
Inter Cos: -0.19982361793518066
Norm Quadratic Average: 2.4471609592437744
Nearest Class Center Accuracy: 0.99975

Test Set:
Average Loss: 0.19347452163696288
Accuracy: 0.988
NC1 Within Class Collapse: 0.09106648713350296
NC2 Equinorm: Features: 0.016219425946474075, Weights: 0.02060043253004551
NC2 Equiangle: Features: 0.06063749889532725, Weights: 0.045237635572751365
NC3 Self-Duality: 0.001976781291887164
NC4 NCC Mismatch: 0.0010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.45596083998680115
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 0.40655893087387085
Linear Weight Rank: 169
Intra Cos: 0.2436133623123169
Inter Cos: 0.11639898270368576
Norm Quadratic Average: 0.34254133701324463
Nearest Class Center Accuracy: 0.7615

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.34560835361480713
Linear Weight Rank: 171
Intra Cos: 0.5852389931678772
Inter Cos: 0.2857044041156769
Norm Quadratic Average: 0.26779603958129883
Nearest Class Center Accuracy: 0.886

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4177539348602295
Linear Weight Rank: 168
Intra Cos: 0.8637108206748962
Inter Cos: 0.14707696437835693
Norm Quadratic Average: 0.25267234444618225
Nearest Class Center Accuracy: 0.9835

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6068519353866577
Linear Weight Rank: 164
Intra Cos: 0.9568563103675842
Inter Cos: -0.08329430222511292
Norm Quadratic Average: 0.44741228222846985
Nearest Class Center Accuracy: 0.988

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.072678565979004
Linear Weight Rank: 3
Intra Cos: 0.9579460620880127
Inter Cos: -0.22495242953300476
Norm Quadratic Average: 2.029452323913574
Nearest Class Center Accuracy: 0.988

Output Layer:
Intra Cos: 0.9578515291213989
Inter Cos: -0.19206932187080383
Norm Quadratic Average: 2.4346327781677246
Nearest Class Center Accuracy: 0.9885

