Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.460931777954102
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: 8.527606010437012
Linear Weight Rank: 179
Intra Cos: 0.1168861836194992
Inter Cos: 0.010603701695799828
Norm Quadratic Average: 5.185997486114502
Nearest Class Center Accuracy: 0.931375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.5480375289917
Linear Weight Rank: 179
Intra Cos: 0.4485430121421814
Inter Cos: 0.025282777845859528
Norm Quadratic Average: 4.0280375480651855
Nearest Class Center Accuracy: 0.9605

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.499798774719238
Linear Weight Rank: 179
Intra Cos: 0.641686201095581
Inter Cos: 0.0524090901017189
Norm Quadratic Average: 5.65379524230957
Nearest Class Center Accuracy: 0.95725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.521318435668945
Linear Weight Rank: 179
Intra Cos: 0.6674752831459045
Inter Cos: 0.08141319453716278
Norm Quadratic Average: 8.625909805297852
Nearest Class Center Accuracy: 0.95

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.910733461380005
Linear Weight Rank: 4
Intra Cos: 0.6824638247489929
Inter Cos: 0.07818043231964111
Norm Quadratic Average: 12.765972137451172
Nearest Class Center Accuracy: 0.950125

Output Layer:
Intra Cos: 0.7663372755050659
Inter Cos: 0.07097256183624268
Norm Quadratic Average: 22.96430206298828
Nearest Class Center Accuracy: 0.95525

Test Set:
Average Loss: 0.06566660964488984
Accuracy: 0.9705
NC1 Within Class Collapse: 1.3407340049743652
NC2 Equinorm: Features: 0.06312984973192215, Weights: 0.046237196773290634
NC2 Equiangle: Features: 0.4292723337809245, Weights: 0.35229309399922687
NC3 Self-Duality: 0.1462634801864624
NC4 NCC Mismatch: 0.05249999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.460931777954102
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: 8.527606010437012
Linear Weight Rank: 179
Intra Cos: 0.11470530927181244
Inter Cos: 0.011164216324687004
Norm Quadratic Average: 5.187698841094971
Nearest Class Center Accuracy: 0.9205

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.5480375289917
Linear Weight Rank: 179
Intra Cos: 0.4415448307991028
Inter Cos: 0.034023188054561615
Norm Quadratic Average: 4.068933486938477
Nearest Class Center Accuracy: 0.9525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.499798774719238
Linear Weight Rank: 179
Intra Cos: 0.642856776714325
Inter Cos: 0.08063855767250061
Norm Quadratic Average: 5.720719814300537
Nearest Class Center Accuracy: 0.9465

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.521318435668945
Linear Weight Rank: 179
Intra Cos: 0.6721640825271606
Inter Cos: 0.10968165099620819
Norm Quadratic Average: 8.725423812866211
Nearest Class Center Accuracy: 0.9395

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.910733461380005
Linear Weight Rank: 4
Intra Cos: 0.6692646145820618
Inter Cos: 0.1035199761390686
Norm Quadratic Average: 12.905071258544922
Nearest Class Center Accuracy: 0.944

Output Layer:
Intra Cos: 0.7520473003387451
Inter Cos: 0.09964944422245026
Norm Quadratic Average: 23.139272689819336
Nearest Class Center Accuracy: 0.948

