Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.20908260345459
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.0062224469147622585
Norm Quadratic Average: 3.9938883781433105
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.209553718566895
Linear Weight Rank: 180
Intra Cos: 0.025609301403164864
Inter Cos: -0.004505174700170755
Norm Quadratic Average: 14.074745178222656
Nearest Class Center Accuracy: 0.575625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15990924835205
Linear Weight Rank: 179
Intra Cos: 0.0288739874958992
Inter Cos: -0.002657059347257018
Norm Quadratic Average: 14.067313194274902
Nearest Class Center Accuracy: 0.629625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.179354667663574
Linear Weight Rank: 179
Intra Cos: 0.03542570024728775
Inter Cos: -0.005787472240626812
Norm Quadratic Average: 14.051020622253418
Nearest Class Center Accuracy: 0.750625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12234878540039
Linear Weight Rank: 179
Intra Cos: 0.06500653922557831
Inter Cos: -0.015742257237434387
Norm Quadratic Average: 13.997345924377441
Nearest Class Center Accuracy: 0.946875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8769218921661377
Linear Weight Rank: 4
Intra Cos: 0.2020014077425003
Inter Cos: -0.05654558539390564
Norm Quadratic Average: 14.255084037780762
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8562522530555725
Inter Cos: -0.17348051071166992
Norm Quadratic Average: 11.483072280883789
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1053914222717285
Accuracy: 0.7345
NC1 Within Class Collapse: 3.8100976943969727
NC2 Equinorm: Features: 0.06848803907632828, Weights: 0.03130210563540459
NC2 Equiangle: Features: 0.08524104952812195, Weights: 0.05546164015928904
NC3 Self-Duality: 0.20049402117729187
NC4 NCC Mismatch: 0.06000000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.20908260345459
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.0045497240498661995
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.209553718566895
Linear Weight Rank: 180
Intra Cos: 0.02379513531923294
Inter Cos: -0.0033322349190711975
Norm Quadratic Average: 14.077896118164062
Nearest Class Center Accuracy: 0.59

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15990924835205
Linear Weight Rank: 179
Intra Cos: 0.024909386411309242
Inter Cos: -0.0007696514949202538
Norm Quadratic Average: 14.05856990814209
Nearest Class Center Accuracy: 0.6205

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.179354667663574
Linear Weight Rank: 179
Intra Cos: 0.025356551632285118
Inter Cos: -0.002642857376486063
Norm Quadratic Average: 14.066307067871094
Nearest Class Center Accuracy: 0.6655

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12234878540039
Linear Weight Rank: 179
Intra Cos: 0.0362311489880085
Inter Cos: -0.004920323379337788
Norm Quadratic Average: 13.960851669311523
Nearest Class Center Accuracy: 0.7145

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8769218921661377
Linear Weight Rank: 4
Intra Cos: 0.0875265896320343
Inter Cos: -0.0156754981726408
Norm Quadratic Average: 13.998046875
Nearest Class Center Accuracy: 0.734

Output Layer:
Intra Cos: 0.39494451880455017
Inter Cos: -0.0683836042881012
Norm Quadratic Average: 10.567865371704102
Nearest Class Center Accuracy: 0.7285

