Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.099303722381592
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 5.156775951385498
Linear Weight Rank: 180
Intra Cos: 0.0746304839849472
Inter Cos: 0.003156006569042802
Norm Quadratic Average: 8.7384672164917
Nearest Class Center Accuracy: 0.865

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.1059346199035645
Linear Weight Rank: 180
Intra Cos: 0.11440568417310715
Inter Cos: 0.004009538795799017
Norm Quadratic Average: 8.728667259216309
Nearest Class Center Accuracy: 0.930375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.076412200927734
Linear Weight Rank: 179
Intra Cos: 0.1413871943950653
Inter Cos: 0.007886252366006374
Norm Quadratic Average: 8.704087257385254
Nearest Class Center Accuracy: 0.95525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.075581073760986
Linear Weight Rank: 180
Intra Cos: 0.16638781130313873
Inter Cos: 0.011448578909039497
Norm Quadratic Average: 8.676323890686035
Nearest Class Center Accuracy: 0.975125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.070189952850342
Linear Weight Rank: 180
Intra Cos: 0.20332975685596466
Inter Cos: -0.007582912687212229
Norm Quadratic Average: 8.648658752441406
Nearest Class Center Accuracy: 0.9925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053048610687256
Linear Weight Rank: 180
Intra Cos: 0.2860713601112366
Inter Cos: -0.022835996001958847
Norm Quadratic Average: 8.625203132629395
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.064312934875488
Linear Weight Rank: 179
Intra Cos: 0.41772758960723877
Inter Cos: -0.06481761485338211
Norm Quadratic Average: 8.608064651489258
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6921157836914062
Linear Weight Rank: 4
Intra Cos: 0.6614816188812256
Inter Cos: -0.17826329171657562
Norm Quadratic Average: 8.79732608795166
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9833731055259705
Inter Cos: -0.2219773530960083
Norm Quadratic Average: 6.823418617248535
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.31786920166015625
Accuracy: 0.8815
NC1 Within Class Collapse: 1.0176053047180176
NC2 Equinorm: Features: 0.013328769244253635, Weights: 0.04053990915417671
NC2 Equiangle: Features: 0.18749491373697916, Weights: 0.05901773273944855
NC3 Self-Duality: 0.16279059648513794
NC4 NCC Mismatch: 0.014000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.099303722381592
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 5.156775951385498
Linear Weight Rank: 180
Intra Cos: 0.0766582041978836
Inter Cos: 0.0037835196126252413
Norm Quadratic Average: 8.733972549438477
Nearest Class Center Accuracy: 0.8675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.1059346199035645
Linear Weight Rank: 180
Intra Cos: 0.11174968630075455
Inter Cos: 0.006386474706232548
Norm Quadratic Average: 8.723532676696777
Nearest Class Center Accuracy: 0.9005

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.076412200927734
Linear Weight Rank: 179
Intra Cos: 0.13291329145431519
Inter Cos: 0.01280154101550579
Norm Quadratic Average: 8.709494590759277
Nearest Class Center Accuracy: 0.9065

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.075581073760986
Linear Weight Rank: 180
Intra Cos: 0.15482425689697266
Inter Cos: 0.01636980101466179
Norm Quadratic Average: 8.679186820983887
Nearest Class Center Accuracy: 0.893

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.070189952850342
Linear Weight Rank: 180
Intra Cos: 0.17955103516578674
Inter Cos: -2.547726035118103e-05
Norm Quadratic Average: 8.607721328735352
Nearest Class Center Accuracy: 0.893

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.053048610687256
Linear Weight Rank: 180
Intra Cos: 0.23244436085224152
Inter Cos: -0.008955088444054127
Norm Quadratic Average: 8.477069854736328
Nearest Class Center Accuracy: 0.902

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.064312934875488
Linear Weight Rank: 179
Intra Cos: 0.3183939456939697
Inter Cos: -0.03045155480504036
Norm Quadratic Average: 8.313836097717285
Nearest Class Center Accuracy: 0.8925

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6921157836914062
Linear Weight Rank: 4
Intra Cos: 0.4760506749153137
Inter Cos: -0.07141070812940598
Norm Quadratic Average: 8.12395191192627
Nearest Class Center Accuracy: 0.888

Output Layer:
Intra Cos: 0.6971251368522644
Inter Cos: -0.08808209002017975
Norm Quadratic Average: 6.070272922515869
Nearest Class Center Accuracy: 0.885

