Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7573323249816895
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7390578985214233
Linear Weight Rank: 180
Intra Cos: 0.06053059548139572
Inter Cos: 0.00739498483017087
Norm Quadratic Average: 1.0503274202346802
Nearest Class Center Accuracy: 0.83075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7374356985092163
Linear Weight Rank: 180
Intra Cos: 0.056789249181747437
Inter Cos: 0.015286976471543312
Norm Quadratic Average: 0.0877169668674469
Nearest Class Center Accuracy: 0.745875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7488367557525635
Linear Weight Rank: 179
Intra Cos: 0.07440225780010223
Inter Cos: 0.021245073527097702
Norm Quadratic Average: 0.007986635901033878
Nearest Class Center Accuracy: 0.715125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7408111095428467
Linear Weight Rank: 180
Intra Cos: 0.0985153466463089
Inter Cos: 0.02627325989305973
Norm Quadratic Average: 0.000761281291488558
Nearest Class Center Accuracy: 0.701

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2675539553165436
Linear Weight Rank: 4
Intra Cos: 0.12780100107192993
Inter Cos: 0.034881629049777985
Norm Quadratic Average: 8.020462701097131e-05
Nearest Class Center Accuracy: 0.702625

Output Layer:
Intra Cos: 0.20440970361232758
Inter Cos: 0.07003714144229889
Norm Quadratic Average: 5.455897280626232e-06
Nearest Class Center Accuracy: 0.672625

Test Set:
Average Loss: 1.3871456184387208
Accuracy: 0.257
NC1 Within Class Collapse: 23.250411987304688
NC2 Equinorm: Features: 0.3847617506980896, Weights: 0.054174333810806274
NC2 Equiangle: Features: 0.4405031204223633, Weights: 0.29251418511072796
NC3 Self-Duality: 1.1567367315292358
NC4 NCC Mismatch: 0.7130000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7573323249816895
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7390578985214233
Linear Weight Rank: 180
Intra Cos: 0.05847594514489174
Inter Cos: 0.007044882979243994
Norm Quadratic Average: 1.0476659536361694
Nearest Class Center Accuracy: 0.841

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7374356985092163
Linear Weight Rank: 180
Intra Cos: 0.05425075814127922
Inter Cos: 0.011714176274836063
Norm Quadratic Average: 0.08736453950405121
Nearest Class Center Accuracy: 0.7695

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7488367557525635
Linear Weight Rank: 179
Intra Cos: 0.07196582108736038
Inter Cos: 0.012689386494457722
Norm Quadratic Average: 0.007963893003761768
Nearest Class Center Accuracy: 0.725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7408111095428467
Linear Weight Rank: 180
Intra Cos: 0.09380847215652466
Inter Cos: 0.016455521807074547
Norm Quadratic Average: 0.0007604270940646529
Nearest Class Center Accuracy: 0.7075

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2675539553165436
Linear Weight Rank: 4
Intra Cos: 0.11957067251205444
Inter Cos: 0.024386126548051834
Norm Quadratic Average: 8.004756818991154e-05
Nearest Class Center Accuracy: 0.696

Output Layer:
Intra Cos: 0.19472049176692963
Inter Cos: 0.055164262652397156
Norm Quadratic Average: 5.424494702310767e-06
Nearest Class Center Accuracy: 0.662

