Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.53091049194336
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.430954933166504
Linear Weight Rank: 179
Intra Cos: 0.03124593012034893
Inter Cos: -0.003584928112104535
Norm Quadratic Average: 5.0416646003723145
Nearest Class Center Accuracy: 0.601875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.415287971496582
Linear Weight Rank: 179
Intra Cos: 0.0680193230509758
Inter Cos: -0.011799226514995098
Norm Quadratic Average: 2.605747699737549
Nearest Class Center Accuracy: 0.673625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.443493843078613
Linear Weight Rank: 180
Intra Cos: 0.17143787443637848
Inter Cos: -0.029006822034716606
Norm Quadratic Average: 1.9668678045272827
Nearest Class Center Accuracy: 0.718

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.427871704101562
Linear Weight Rank: 179
Intra Cos: 0.2521783113479614
Inter Cos: -0.06067092716693878
Norm Quadratic Average: 2.2044734954833984
Nearest Class Center Accuracy: 0.736

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6172287464141846
Linear Weight Rank: 4
Intra Cos: 0.29264602065086365
Inter Cos: -0.054275523871183395
Norm Quadratic Average: 2.834014892578125
Nearest Class Center Accuracy: 0.745375

Output Layer:
Intra Cos: 0.3307854235172272
Inter Cos: -0.024310162290930748
Norm Quadratic Average: 3.8606514930725098
Nearest Class Center Accuracy: 0.741

Test Set:
Average Loss: 0.6791122894287109
Accuracy: 0.7145
NC1 Within Class Collapse: 5.458652496337891
NC2 Equinorm: Features: 0.14885477721691132, Weights: 0.03432631865143776
NC2 Equiangle: Features: 0.18275161584218344, Weights: 0.06884615619977315
NC3 Self-Duality: 0.1745588332414627
NC4 NCC Mismatch: 0.08799999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.53091049194336
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.430954933166504
Linear Weight Rank: 179
Intra Cos: 0.02785542793571949
Inter Cos: -0.0033015673980116844
Norm Quadratic Average: 5.044754981994629
Nearest Class Center Accuracy: 0.6025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.415287971496582
Linear Weight Rank: 179
Intra Cos: 0.060640957206487656
Inter Cos: -0.006244386546313763
Norm Quadratic Average: 2.6063740253448486
Nearest Class Center Accuracy: 0.657

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.443493843078613
Linear Weight Rank: 180
Intra Cos: 0.15774835646152496
Inter Cos: -0.009579073637723923
Norm Quadratic Average: 1.9655382633209229
Nearest Class Center Accuracy: 0.6925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.427871704101562
Linear Weight Rank: 179
Intra Cos: 0.23145698010921478
Inter Cos: -0.02789488062262535
Norm Quadratic Average: 2.198152542114258
Nearest Class Center Accuracy: 0.7035

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6172287464141846
Linear Weight Rank: 4
Intra Cos: 0.2666577100753784
Inter Cos: -0.04453432932496071
Norm Quadratic Average: 2.821530818939209
Nearest Class Center Accuracy: 0.708

Output Layer:
Intra Cos: 0.2983352839946747
Inter Cos: -0.03434377163648605
Norm Quadratic Average: 3.840985059738159
Nearest Class Center Accuracy: 0.71

