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_846264_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.037747383117676
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996378421783447
Linear Weight Rank: 179
Intra Cos: 0.05383523553609848
Inter Cos: 0.005666037555783987
Norm Quadratic Average: 4.761852741241455
Nearest Class Center Accuracy: 0.80675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97902250289917
Linear Weight Rank: 179
Intra Cos: 0.05472441017627716
Inter Cos: 0.011032536625862122
Norm Quadratic Average: 1.6898196935653687
Nearest Class Center Accuracy: 0.7175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952273368835449
Linear Weight Rank: 179
Intra Cos: 0.054192591458559036
Inter Cos: 0.012064192444086075
Norm Quadratic Average: 0.6368529796600342
Nearest Class Center Accuracy: 0.69525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.968658447265625
Linear Weight Rank: 180
Intra Cos: 0.056820355355739594
Inter Cos: 0.0076779453083872795
Norm Quadratic Average: 0.25160831212997437
Nearest Class Center Accuracy: 0.648

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9606451988220215
Linear Weight Rank: 179
Intra Cos: 0.06583497673273087
Inter Cos: 0.018173692747950554
Norm Quadratic Average: 0.10132172703742981
Nearest Class Center Accuracy: 0.626875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.96727991104126
Linear Weight Rank: 180
Intra Cos: 0.07937973737716675
Inter Cos: 0.01711779646575451
Norm Quadratic Average: 0.03891366347670555
Nearest Class Center Accuracy: 0.62325

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956977844238281
Linear Weight Rank: 179
Intra Cos: 0.0902576595544815
Inter Cos: 0.009093989618122578
Norm Quadratic Average: 0.016415096819400787
Nearest Class Center Accuracy: 0.606875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.137719750404358
Linear Weight Rank: 4
Intra Cos: 0.10971366614103317
Inter Cos: 0.010434637777507305
Norm Quadratic Average: 0.006904272362589836
Nearest Class Center Accuracy: 0.583875

Output Layer:
Intra Cos: 0.24852018058300018
Inter Cos: 0.033388860523700714
Norm Quadratic Average: 0.0009534899145364761
Nearest Class Center Accuracy: 0.6045

Test Set:
Average Loss: 1.3871210517883301
Accuracy: 0.257
NC1 Within Class Collapse: 62.72954559326172
NC2 Equinorm: Features: 0.11637827754020691, Weights: 0.04850205034017563
NC2 Equiangle: Features: 0.43721898396809894, Weights: 0.37311530113220215
NC3 Self-Duality: 1.4774914979934692
NC4 NCC Mismatch: 0.733

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.037747383117676
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.996378421783447
Linear Weight Rank: 179
Intra Cos: 0.05199684947729111
Inter Cos: 0.002904880093410611
Norm Quadratic Average: 4.754750728607178
Nearest Class Center Accuracy: 0.8195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97902250289917
Linear Weight Rank: 179
Intra Cos: 0.05158194899559021
Inter Cos: 0.005823870189487934
Norm Quadratic Average: 1.6837502717971802
Nearest Class Center Accuracy: 0.724

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952273368835449
Linear Weight Rank: 179
Intra Cos: 0.0491659939289093
Inter Cos: 0.005980999208986759
Norm Quadratic Average: 0.6354601979255676
Nearest Class Center Accuracy: 0.6975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.968658447265625
Linear Weight Rank: 180
Intra Cos: 0.05315946042537689
Inter Cos: 0.011176476255059242
Norm Quadratic Average: 0.25080281496047974
Nearest Class Center Accuracy: 0.6655

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9606451988220215
Linear Weight Rank: 179
Intra Cos: 0.06225893646478653
Inter Cos: 0.022439921274781227
Norm Quadratic Average: 0.10133300721645355
Nearest Class Center Accuracy: 0.6325

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.96727991104126
Linear Weight Rank: 180
Intra Cos: 0.07536308467388153
Inter Cos: 0.020198142156004906
Norm Quadratic Average: 0.038802988827228546
Nearest Class Center Accuracy: 0.627

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956977844238281
Linear Weight Rank: 179
Intra Cos: 0.08555915951728821
Inter Cos: 0.01354250032454729
Norm Quadratic Average: 0.016340741887688637
Nearest Class Center Accuracy: 0.6125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.137719750404358
Linear Weight Rank: 4
Intra Cos: 0.10487378388643265
Inter Cos: 0.00802936777472496
Norm Quadratic Average: 0.006855527404695749
Nearest Class Center Accuracy: 0.5885

Output Layer:
Intra Cos: 0.22668153047561646
Inter Cos: 0.034947719424963
Norm Quadratic Average: 0.0009451368823647499
Nearest Class Center Accuracy: 0.5985

