Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.092483997344971
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.285447597503662
Linear Weight Rank: 180
Intra Cos: 0.026327678933739662
Inter Cos: -0.0030700264032930136
Norm Quadratic Average: 8.775834083557129
Nearest Class Center Accuracy: 0.588625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.230506896972656
Linear Weight Rank: 179
Intra Cos: 0.02692883461713791
Inter Cos: -0.0019637581426650286
Norm Quadratic Average: 8.75777816772461
Nearest Class Center Accuracy: 0.63575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.146282196044922
Linear Weight Rank: 179
Intra Cos: 0.032803721725940704
Inter Cos: -0.0045193093828856945
Norm Quadratic Average: 8.731983184814453
Nearest Class Center Accuracy: 0.70925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.110776901245117
Linear Weight Rank: 180
Intra Cos: 0.045813966542482376
Inter Cos: -0.009922175668179989
Norm Quadratic Average: 8.71612548828125
Nearest Class Center Accuracy: 0.806875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.092514991760254
Linear Weight Rank: 180
Intra Cos: 0.06474003940820694
Inter Cos: -0.015293312259018421
Norm Quadratic Average: 8.679821014404297
Nearest Class Center Accuracy: 0.91675

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057577610015869
Linear Weight Rank: 180
Intra Cos: 0.11966775357723236
Inter Cos: -0.029482409358024597
Norm Quadratic Average: 8.669607162475586
Nearest Class Center Accuracy: 0.992625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.04502010345459
Linear Weight Rank: 179
Intra Cos: 0.27329835295677185
Inter Cos: -0.07509985566139221
Norm Quadratic Average: 8.681413650512695
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9161204099655151
Linear Weight Rank: 4
Intra Cos: 0.597999095916748
Inter Cos: -0.17641255259513855
Norm Quadratic Average: 8.940226554870605
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9609939455986023
Inter Cos: -0.2248656302690506
Norm Quadratic Average: 7.490843296051025
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.9661233215332031
Accuracy: 0.7215
NC1 Within Class Collapse: 3.428624153137207
NC2 Equinorm: Features: 0.04628583788871765, Weights: 0.034597959369421005
NC2 Equiangle: Features: 0.06474633514881134, Weights: 0.05176369845867157
NC3 Self-Duality: 0.14569203555583954
NC4 NCC Mismatch: 0.025499999999999967

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.092483997344971
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 5.285447597503662
Linear Weight Rank: 180
Intra Cos: 0.024528320878744125
Inter Cos: -0.002237400971353054
Norm Quadratic Average: 8.813716888427734
Nearest Class Center Accuracy: 0.581

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.230506896972656
Linear Weight Rank: 179
Intra Cos: 0.024053743109107018
Inter Cos: -0.0011792598525062203
Norm Quadratic Average: 8.774137496948242
Nearest Class Center Accuracy: 0.6255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.146282196044922
Linear Weight Rank: 179
Intra Cos: 0.02818072773516178
Inter Cos: -0.003201437648385763
Norm Quadratic Average: 8.716849327087402
Nearest Class Center Accuracy: 0.672

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.110776901245117
Linear Weight Rank: 180
Intra Cos: 0.03265948221087456
Inter Cos: -0.006904341746121645
Norm Quadratic Average: 8.651948928833008
Nearest Class Center Accuracy: 0.685

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.092514991760254
Linear Weight Rank: 180
Intra Cos: 0.03636491298675537
Inter Cos: -0.007365404162555933
Norm Quadratic Average: 8.532822608947754
Nearest Class Center Accuracy: 0.711

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057577610015869
Linear Weight Rank: 180
Intra Cos: 0.05371778830885887
Inter Cos: -0.007398710120469332
Norm Quadratic Average: 8.414198875427246
Nearest Class Center Accuracy: 0.7165

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.04502010345459
Linear Weight Rank: 179
Intra Cos: 0.10225315392017365
Inter Cos: -0.01769432984292507
Norm Quadratic Average: 8.14086627960205
Nearest Class Center Accuracy: 0.722

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9161204099655151
Linear Weight Rank: 4
Intra Cos: 0.20496799051761627
Inter Cos: -0.04664184898138046
Norm Quadratic Average: 7.797507286071777
Nearest Class Center Accuracy: 0.721

Output Layer:
Intra Cos: 0.4146478474140167
Inter Cos: -0.09013828635215759
Norm Quadratic Average: 6.013928413391113
Nearest Class Center Accuracy: 0.722

