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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.785678863525391
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: 5.75387716293335
Linear Weight Rank: 180
Intra Cos: 0.07862704247236252
Inter Cos: 0.0037689348682761192
Norm Quadratic Average: 9.869637489318848
Nearest Class Center Accuracy: 0.875875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.7163801193237305
Linear Weight Rank: 180
Intra Cos: 0.12301835417747498
Inter Cos: 0.003572676796466112
Norm Quadratic Average: 9.860897064208984
Nearest Class Center Accuracy: 0.933875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.71987247467041
Linear Weight Rank: 180
Intra Cos: 0.15861141681671143
Inter Cos: -0.003974313847720623
Norm Quadratic Average: 9.855121612548828
Nearest Class Center Accuracy: 0.96825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.692986011505127
Linear Weight Rank: 179
Intra Cos: 0.24757859110832214
Inter Cos: -0.019023312255740166
Norm Quadratic Average: 9.805213928222656
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0674052238464355
Linear Weight Rank: 4
Intra Cos: 0.4995337724685669
Inter Cos: -0.08222609013319016
Norm Quadratic Average: 9.965482711791992
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9464541673660278
Inter Cos: -0.1231694146990776
Norm Quadratic Average: 8.420655250549316
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25681193351745607
Accuracy: 0.897
NC1 Within Class Collapse: 1.1194512844085693
NC2 Equinorm: Features: 0.013187695294618607, Weights: 0.029813922941684723
NC2 Equiangle: Features: 0.24815766016642252, Weights: 0.08430590232213338
NC3 Self-Duality: 0.1758018285036087
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.785678863525391
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: 5.75387716293335
Linear Weight Rank: 180
Intra Cos: 0.07942826300859451
Inter Cos: 0.0023479994852095842
Norm Quadratic Average: 9.852020263671875
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.7163801193237305
Linear Weight Rank: 180
Intra Cos: 0.11856739223003387
Inter Cos: -0.000712281558662653
Norm Quadratic Average: 9.888875961303711
Nearest Class Center Accuracy: 0.9105

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.71987247467041
Linear Weight Rank: 180
Intra Cos: 0.14324654638767242
Inter Cos: 0.004458892159163952
Norm Quadratic Average: 9.904943466186523
Nearest Class Center Accuracy: 0.907

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.692986011505127
Linear Weight Rank: 179
Intra Cos: 0.2038794755935669
Inter Cos: -0.003126090159639716
Norm Quadratic Average: 9.828120231628418
Nearest Class Center Accuracy: 0.9145

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0674052238464355
Linear Weight Rank: 4
Intra Cos: 0.3641626536846161
Inter Cos: -0.04528858885169029
Norm Quadratic Average: 9.766996383666992
Nearest Class Center Accuracy: 0.903

Output Layer:
Intra Cos: 0.7347986698150635
Inter Cos: -0.06112995743751526
Norm Quadratic Average: 8.015180587768555
Nearest Class Center Accuracy: 0.9045

