Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.12832498550415
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.053231716156006
Linear Weight Rank: 180
Intra Cos: 0.012240494601428509
Inter Cos: 0.005388971883803606
Norm Quadratic Average: 4.253475189208984
Nearest Class Center Accuracy: 0.45075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0464372634887695
Linear Weight Rank: 180
Intra Cos: 0.010673982091248035
Inter Cos: 0.007007541134953499
Norm Quadratic Average: 1.3403505086898804
Nearest Class Center Accuracy: 0.435875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.092846393585205
Linear Weight Rank: 179
Intra Cos: 0.009228791110217571
Inter Cos: 0.006586565636098385
Norm Quadratic Average: 0.43260273337364197
Nearest Class Center Accuracy: 0.4155

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060097694396973
Linear Weight Rank: 180
Intra Cos: 0.009532992728054523
Inter Cos: 0.0033632121048867702
Norm Quadratic Average: 0.14364638924598694
Nearest Class Center Accuracy: 0.40475

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.065124034881592
Linear Weight Rank: 180
Intra Cos: 0.00838455930352211
Inter Cos: 0.005064079072326422
Norm Quadratic Average: 0.050181660801172256
Nearest Class Center Accuracy: 0.401

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.092827320098877
Linear Weight Rank: 180
Intra Cos: 0.009888242930173874
Inter Cos: 0.003321257419884205
Norm Quadratic Average: 0.0179910846054554
Nearest Class Center Accuracy: 0.389375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0747904777526855
Linear Weight Rank: 179
Intra Cos: 0.009912857785820961
Inter Cos: 0.0012292374158278108
Norm Quadratic Average: 0.006566372700035572
Nearest Class Center Accuracy: 0.38475

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.03498113155365
Linear Weight Rank: 4
Intra Cos: 0.009196534752845764
Inter Cos: 0.001136999810114503
Norm Quadratic Average: 0.002285934053361416
Nearest Class Center Accuracy: 0.374875

Output Layer:
Intra Cos: 0.00802852213382721
Inter Cos: 0.004495066124945879
Norm Quadratic Average: 0.0001705641916487366
Nearest Class Center Accuracy: 0.33275

Test Set:
Average Loss: 1.3836842575073243
Accuracy: 0.2695
NC1 Within Class Collapse: 52.171775817871094
NC2 Equinorm: Features: 0.1680598109960556, Weights: 0.01947052590548992
NC2 Equiangle: Features: 0.1026078462600708, Weights: 0.2957552671432495
NC3 Self-Duality: 1.7970550060272217
NC4 NCC Mismatch: 0.773

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.12832498550415
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.053231716156006
Linear Weight Rank: 180
Intra Cos: 0.011711888946592808
Inter Cos: 0.00492464192211628
Norm Quadratic Average: 4.234193801879883
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0464372634887695
Linear Weight Rank: 180
Intra Cos: 0.009350210428237915
Inter Cos: 0.006775052286684513
Norm Quadratic Average: 1.3310493230819702
Nearest Class Center Accuracy: 0.4485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.092846393585205
Linear Weight Rank: 179
Intra Cos: 0.007059686817228794
Inter Cos: 0.007461313158273697
Norm Quadratic Average: 0.43157336115837097
Nearest Class Center Accuracy: 0.4235

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060097694396973
Linear Weight Rank: 180
Intra Cos: 0.006891591474413872
Inter Cos: 0.003473225049674511
Norm Quadratic Average: 0.14302365481853485
Nearest Class Center Accuracy: 0.412

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.065124034881592
Linear Weight Rank: 180
Intra Cos: 0.006582506932318211
Inter Cos: 0.005245188716799021
Norm Quadratic Average: 0.050146959722042084
Nearest Class Center Accuracy: 0.415

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.092827320098877
Linear Weight Rank: 180
Intra Cos: 0.0099785216152668
Inter Cos: 0.0022701274137943983
Norm Quadratic Average: 0.017994556576013565
Nearest Class Center Accuracy: 0.403

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0747904777526855
Linear Weight Rank: 179
Intra Cos: 0.01236763596534729
Inter Cos: 0.0005720315384678543
Norm Quadratic Average: 0.006559921428561211
Nearest Class Center Accuracy: 0.3895

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.03498113155365
Linear Weight Rank: 4
Intra Cos: 0.011672619730234146
Inter Cos: 0.0010694401571527123
Norm Quadratic Average: 0.0022818194702267647
Nearest Class Center Accuracy: 0.3825

Output Layer:
Intra Cos: 0.011939252726733685
Inter Cos: 0.008638076484203339
Norm Quadratic Average: 0.00017035246128216386
Nearest Class Center Accuracy: 0.3535

