Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.142882347106934
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 8.225946426391602
Linear Weight Rank: 179
Intra Cos: 0.07550397515296936
Inter Cos: 0.006093301810324192
Norm Quadratic Average: 14.035505294799805
Nearest Class Center Accuracy: 0.870125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.212638854980469
Linear Weight Rank: 179
Intra Cos: 0.10431213676929474
Inter Cos: 0.0076303184032440186
Norm Quadratic Average: 14.013293266296387
Nearest Class Center Accuracy: 0.91175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135946273803711
Linear Weight Rank: 179
Intra Cos: 0.1279202252626419
Inter Cos: 0.0026330912951380014
Norm Quadratic Average: 13.999985694885254
Nearest Class Center Accuracy: 0.943625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131021499633789
Linear Weight Rank: 179
Intra Cos: 0.14885136485099792
Inter Cos: -0.0006851698271930218
Norm Quadratic Average: 13.96175479888916
Nearest Class Center Accuracy: 0.968875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143295288085938
Linear Weight Rank: 179
Intra Cos: 0.18402384221553802
Inter Cos: 0.004412456881254911
Norm Quadratic Average: 13.94638729095459
Nearest Class Center Accuracy: 0.991125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117523193359375
Linear Weight Rank: 180
Intra Cos: 0.2385176718235016
Inter Cos: -0.001083951909095049
Norm Quadratic Average: 13.9135103225708
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.108885765075684
Linear Weight Rank: 179
Intra Cos: 0.3311212956905365
Inter Cos: -0.04372013360261917
Norm Quadratic Average: 13.897892951965332
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0917065143585205
Linear Weight Rank: 4
Intra Cos: 0.4894532859325409
Inter Cos: -0.08913426101207733
Norm Quadratic Average: 14.03681755065918
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9623526334762573
Inter Cos: -0.14485834538936615
Norm Quadratic Average: 11.181620597839355
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.4178421878814697
Accuracy: 0.8745
NC1 Within Class Collapse: 1.2188477516174316
NC2 Equinorm: Features: 0.021914208307862282, Weights: 0.03861069306731224
NC2 Equiangle: Features: 0.22515183687210083, Weights: 0.13808886210123697
NC3 Self-Duality: 0.24195727705955505
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.142882347106934
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.225946426391602
Linear Weight Rank: 179
Intra Cos: 0.07681872695684433
Inter Cos: 0.007264965213835239
Norm Quadratic Average: 14.017731666564941
Nearest Class Center Accuracy: 0.876

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.212638854980469
Linear Weight Rank: 179
Intra Cos: 0.09954816102981567
Inter Cos: 0.001888845581561327
Norm Quadratic Average: 14.0519437789917
Nearest Class Center Accuracy: 0.895

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135946273803711
Linear Weight Rank: 179
Intra Cos: 0.11889816075563431
Inter Cos: 0.003213707357645035
Norm Quadratic Average: 14.022374153137207
Nearest Class Center Accuracy: 0.8945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.131021499633789
Linear Weight Rank: 179
Intra Cos: 0.13890790939331055
Inter Cos: -0.0022576265037059784
Norm Quadratic Average: 13.988736152648926
Nearest Class Center Accuracy: 0.89

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143295288085938
Linear Weight Rank: 179
Intra Cos: 0.15567857027053833
Inter Cos: 0.0011354410089552402
Norm Quadratic Average: 13.924592018127441
Nearest Class Center Accuracy: 0.897

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.117523193359375
Linear Weight Rank: 180
Intra Cos: 0.19207681715488434
Inter Cos: -4.902202636003494e-05
Norm Quadratic Average: 13.802102088928223
Nearest Class Center Accuracy: 0.895

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.108885765075684
Linear Weight Rank: 179
Intra Cos: 0.23458458483219147
Inter Cos: -0.015582451596856117
Norm Quadratic Average: 13.648037910461426
Nearest Class Center Accuracy: 0.88

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0917065143585205
Linear Weight Rank: 4
Intra Cos: 0.33759424090385437
Inter Cos: -0.044517334550619125
Norm Quadratic Average: 13.512643814086914
Nearest Class Center Accuracy: 0.8815

Output Layer:
Intra Cos: 0.7082341313362122
Inter Cos: -0.0524415448307991
Norm Quadratic Average: 10.373418807983398
Nearest Class Center Accuracy: 0.8785

