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_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.198871612548828
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
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: 7.265779495239258
Linear Weight Rank: 180
Intra Cos: 0.02883235178887844
Inter Cos: -0.004889200907200575
Norm Quadratic Average: 12.224194526672363
Nearest Class Center Accuracy: 0.5905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1902689933776855
Linear Weight Rank: 179
Intra Cos: 0.03136895224452019
Inter Cos: -0.006228897720575333
Norm Quadratic Average: 12.19471263885498
Nearest Class Center Accuracy: 0.625625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169119358062744
Linear Weight Rank: 180
Intra Cos: 0.034623537212610245
Inter Cos: -0.009807550348341465
Norm Quadratic Average: 12.169837951660156
Nearest Class Center Accuracy: 0.69225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114684104919434
Linear Weight Rank: 179
Intra Cos: 0.046629879623651505
Inter Cos: -0.00944774504750967
Norm Quadratic Average: 12.13068675994873
Nearest Class Center Accuracy: 0.778125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1079230308532715
Linear Weight Rank: 180
Intra Cos: 0.05850993096828461
Inter Cos: -0.011996358633041382
Norm Quadratic Average: 12.133970260620117
Nearest Class Center Accuracy: 0.88675

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.072957515716553
Linear Weight Rank: 180
Intra Cos: 0.0984077975153923
Inter Cos: -0.023306045681238174
Norm Quadratic Average: 12.118902206420898
Nearest Class Center Accuracy: 0.977875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.064117908477783
Linear Weight Rank: 180
Intra Cos: 0.1883983314037323
Inter Cos: -0.05167391523718834
Norm Quadratic Average: 12.155839920043945
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2154200077056885
Linear Weight Rank: 4
Intra Cos: 0.4187915623188019
Inter Cos: -0.10980474948883057
Norm Quadratic Average: 12.376002311706543
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9299131631851196
Inter Cos: -0.23773325979709625
Norm Quadratic Average: 10.032848358154297
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.2297956886291503
Accuracy: 0.706
NC1 Within Class Collapse: 3.837019443511963
NC2 Equinorm: Features: 0.09870247542858124, Weights: 0.0426456518471241
NC2 Equiangle: Features: 0.06761101881663005, Weights: 0.06652987996737163
NC3 Self-Duality: 0.18283535540103912
NC4 NCC Mismatch: 0.03149999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.198871612548828
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 7.265779495239258
Linear Weight Rank: 180
Intra Cos: 0.02635394036769867
Inter Cos: -0.0047648935578763485
Norm Quadratic Average: 12.2344331741333
Nearest Class Center Accuracy: 0.5925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1902689933776855
Linear Weight Rank: 179
Intra Cos: 0.02757721208035946
Inter Cos: -0.005542134866118431
Norm Quadratic Average: 12.190128326416016
Nearest Class Center Accuracy: 0.634

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169119358062744
Linear Weight Rank: 180
Intra Cos: 0.02816091477870941
Inter Cos: -0.007136899046599865
Norm Quadratic Average: 12.136101722717285
Nearest Class Center Accuracy: 0.6635

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.114684104919434
Linear Weight Rank: 179
Intra Cos: 0.03264369070529938
Inter Cos: -0.0064281318336725235
Norm Quadratic Average: 12.041118621826172
Nearest Class Center Accuracy: 0.682

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1079230308532715
Linear Weight Rank: 180
Intra Cos: 0.03723437339067459
Inter Cos: -0.0070208297111094
Norm Quadratic Average: 12.011384963989258
Nearest Class Center Accuracy: 0.696

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.072957515716553
Linear Weight Rank: 180
Intra Cos: 0.04795049503445625
Inter Cos: -0.008734410628676414
Norm Quadratic Average: 11.858197212219238
Nearest Class Center Accuracy: 0.7095

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.064117908477783
Linear Weight Rank: 180
Intra Cos: 0.07339893281459808
Inter Cos: -0.009247218258678913
Norm Quadratic Average: 11.672236442565918
Nearest Class Center Accuracy: 0.717

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2154200077056885
Linear Weight Rank: 4
Intra Cos: 0.14185361564159393
Inter Cos: -0.02620738185942173
Norm Quadratic Average: 11.353509902954102
Nearest Class Center Accuracy: 0.711

Output Layer:
Intra Cos: 0.38497740030288696
Inter Cos: -0.08491209894418716
Norm Quadratic Average: 8.388792037963867
Nearest Class Center Accuracy: 0.707

