Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1828269958496094
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 3.313601016998291
Linear Weight Rank: 179
Intra Cos: 0.0858607217669487
Inter Cos: 0.003983315546065569
Norm Quadratic Average: 5.427157878875732
Nearest Class Center Accuracy: 0.902

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2411580085754395
Linear Weight Rank: 179
Intra Cos: 0.13245561718940735
Inter Cos: 0.0016746101900935173
Norm Quadratic Average: 5.3988471031188965
Nearest Class Center Accuracy: 0.949625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.21354079246521
Linear Weight Rank: 179
Intra Cos: 0.16282179951667786
Inter Cos: 0.004323966801166534
Norm Quadratic Average: 5.381767749786377
Nearest Class Center Accuracy: 0.977

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1633737087249756
Linear Weight Rank: 180
Intra Cos: 0.2163933515548706
Inter Cos: -0.00960887037217617
Norm Quadratic Average: 5.3725666999816895
Nearest Class Center Accuracy: 0.9945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.143342971801758
Linear Weight Rank: 180
Intra Cos: 0.28533637523651123
Inter Cos: -0.010440992191433907
Norm Quadratic Average: 5.356898307800293
Nearest Class Center Accuracy: 0.999125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1416409015655518
Linear Weight Rank: 179
Intra Cos: 0.43219923973083496
Inter Cos: -0.03523818776011467
Norm Quadratic Average: 5.331043243408203
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.128734827041626
Linear Weight Rank: 179
Intra Cos: 0.6629866361618042
Inter Cos: -0.11308464407920837
Norm Quadratic Average: 5.351626873016357
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.666104793548584
Linear Weight Rank: 4
Intra Cos: 0.8993273377418518
Inter Cos: -0.2415015697479248
Norm Quadratic Average: 5.6293535232543945
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9939226508140564
Inter Cos: -0.26557233929634094
Norm Quadratic Average: 4.986989498138428
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24054573440551758
Accuracy: 0.905
NC1 Within Class Collapse: 0.6950522661209106
NC2 Equinorm: Features: 0.023190490901470184, Weights: 0.016775615513324738
NC2 Equiangle: Features: 0.1330064336458842, Weights: 0.03253976504007975
NC3 Self-Duality: 0.08328309655189514
NC4 NCC Mismatch: 0.0034999999999999476

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1828269958496094
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: 3.313601016998291
Linear Weight Rank: 179
Intra Cos: 0.08496401458978653
Inter Cos: 0.003990027122199535
Norm Quadratic Average: 5.422337055206299
Nearest Class Center Accuracy: 0.9045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2411580085754395
Linear Weight Rank: 179
Intra Cos: 0.12525121867656708
Inter Cos: 0.005005537532269955
Norm Quadratic Average: 5.401240348815918
Nearest Class Center Accuracy: 0.929

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.21354079246521
Linear Weight Rank: 179
Intra Cos: 0.14678479731082916
Inter Cos: -0.0030529131181538105
Norm Quadratic Average: 5.384886264801025
Nearest Class Center Accuracy: 0.928

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1633737087249756
Linear Weight Rank: 180
Intra Cos: 0.19170115888118744
Inter Cos: -0.006321650929749012
Norm Quadratic Average: 5.356345176696777
Nearest Class Center Accuracy: 0.926

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.143342971801758
Linear Weight Rank: 180
Intra Cos: 0.23254914581775665
Inter Cos: -0.0033861477859318256
Norm Quadratic Average: 5.314043045043945
Nearest Class Center Accuracy: 0.926

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1416409015655518
Linear Weight Rank: 179
Intra Cos: 0.3280494809150696
Inter Cos: -0.019674578681588173
Norm Quadratic Average: 5.22761869430542
Nearest Class Center Accuracy: 0.9245

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.128734827041626
Linear Weight Rank: 179
Intra Cos: 0.4842159152030945
Inter Cos: -0.05736418068408966
Norm Quadratic Average: 5.123081684112549
Nearest Class Center Accuracy: 0.914

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.666104793548584
Linear Weight Rank: 4
Intra Cos: 0.6589081883430481
Inter Cos: -0.1276938021183014
Norm Quadratic Average: 5.155070781707764
Nearest Class Center Accuracy: 0.9055

Output Layer:
Intra Cos: 0.7666281461715698
Inter Cos: -0.14598757028579712
Norm Quadratic Average: 4.4771599769592285
Nearest Class Center Accuracy: 0.906

