Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04326343536377
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: 8.057069778442383
Linear Weight Rank: 179
Intra Cos: 0.06359682977199554
Inter Cos: 0.0074970233254134655
Norm Quadratic Average: 4.792522430419922
Nearest Class Center Accuracy: 0.822875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076265335083008
Linear Weight Rank: 179
Intra Cos: 0.048273466527462006
Inter Cos: 0.003908698447048664
Norm Quadratic Average: 1.67277193069458
Nearest Class Center Accuracy: 0.747375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018261909484863
Linear Weight Rank: 179
Intra Cos: 0.04282345995306969
Inter Cos: 0.005783950909972191
Norm Quadratic Average: 0.6096279621124268
Nearest Class Center Accuracy: 0.6615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027743339538574
Linear Weight Rank: 180
Intra Cos: 0.04513714089989662
Inter Cos: 0.013219698332250118
Norm Quadratic Average: 0.23322930932044983
Nearest Class Center Accuracy: 0.614875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.0490083694458
Linear Weight Rank: 179
Intra Cos: 0.053044017404317856
Inter Cos: 0.02474304661154747
Norm Quadratic Average: 0.0936356708407402
Nearest Class Center Accuracy: 0.583375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028193473815918
Linear Weight Rank: 180
Intra Cos: 0.05432044714689255
Inter Cos: 0.03207649290561676
Norm Quadratic Average: 0.03459388390183449
Nearest Class Center Accuracy: 0.583125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.022947311401367
Linear Weight Rank: 179
Intra Cos: 0.06135719642043114
Inter Cos: 0.03523002192378044
Norm Quadratic Average: 0.014591789804399014
Nearest Class Center Accuracy: 0.5665

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1862815618515015
Linear Weight Rank: 4
Intra Cos: 0.06729616224765778
Inter Cos: 0.05238964408636093
Norm Quadratic Average: 0.006217068526893854
Nearest Class Center Accuracy: 0.549625

Output Layer:
Intra Cos: 0.157952219247818
Inter Cos: 0.14524920284748077
Norm Quadratic Average: 0.0008467600564472377
Nearest Class Center Accuracy: 0.53

Test Set:
Average Loss: 1.3871991348266601
Accuracy: 0.257
NC1 Within Class Collapse: 41.416465759277344
NC2 Equinorm: Features: 0.2082204669713974, Weights: 0.021058758720755577
NC2 Equiangle: Features: 0.6164897282918295, Weights: 0.3417760928471883
NC3 Self-Duality: 1.5241767168045044
NC4 NCC Mismatch: 0.7375

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04326343536377
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: 8.057069778442383
Linear Weight Rank: 179
Intra Cos: 0.06332530081272125
Inter Cos: 0.009254202246665955
Norm Quadratic Average: 4.786047458648682
Nearest Class Center Accuracy: 0.824

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076265335083008
Linear Weight Rank: 179
Intra Cos: 0.04731682687997818
Inter Cos: 0.005318023730069399
Norm Quadratic Average: 1.6730579137802124
Nearest Class Center Accuracy: 0.7555

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018261909484863
Linear Weight Rank: 179
Intra Cos: 0.04450230300426483
Inter Cos: 0.003462393768131733
Norm Quadratic Average: 0.6091395020484924
Nearest Class Center Accuracy: 0.6735

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027743339538574
Linear Weight Rank: 180
Intra Cos: 0.04608415812253952
Inter Cos: 0.01700381003320217
Norm Quadratic Average: 0.23372289538383484
Nearest Class Center Accuracy: 0.6455

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.0490083694458
Linear Weight Rank: 179
Intra Cos: 0.052392710000276566
Inter Cos: 0.02784624509513378
Norm Quadratic Average: 0.09381400048732758
Nearest Class Center Accuracy: 0.6025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.028193473815918
Linear Weight Rank: 180
Intra Cos: 0.05592736601829529
Inter Cos: 0.03455010801553726
Norm Quadratic Average: 0.03474688529968262
Nearest Class Center Accuracy: 0.606

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.022947311401367
Linear Weight Rank: 179
Intra Cos: 0.061971843242645264
Inter Cos: 0.03570004552602768
Norm Quadratic Average: 0.014678016304969788
Nearest Class Center Accuracy: 0.589

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1862815618515015
Linear Weight Rank: 4
Intra Cos: 0.06455859541893005
Inter Cos: 0.054780811071395874
Norm Quadratic Average: 0.006258680950850248
Nearest Class Center Accuracy: 0.5695

Output Layer:
Intra Cos: 0.14964190125465393
Inter Cos: 0.15013477206230164
Norm Quadratic Average: 0.0008564857998862863
Nearest Class Center Accuracy: 0.5455

