Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.081865310668945
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.052733421325684
Linear Weight Rank: 180
Intra Cos: 0.0710793137550354
Inter Cos: 0.002255413681268692
Norm Quadratic Average: 13.685439109802246
Nearest Class Center Accuracy: 0.86375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000527381896973
Linear Weight Rank: 180
Intra Cos: 0.10846670717000961
Inter Cos: 0.003014042042195797
Norm Quadratic Average: 13.631260871887207
Nearest Class Center Accuracy: 0.92

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005763053894043
Linear Weight Rank: 180
Intra Cos: 0.12388616055250168
Inter Cos: 0.0005161113804206252
Norm Quadratic Average: 13.598333358764648
Nearest Class Center Accuracy: 0.928625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965290546417236
Linear Weight Rank: 180
Intra Cos: 0.15091915428638458
Inter Cos: -0.0006985430372878909
Norm Quadratic Average: 13.567191123962402
Nearest Class Center Accuracy: 0.972125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978074550628662
Linear Weight Rank: 180
Intra Cos: 0.1927650421857834
Inter Cos: -0.0009573146235197783
Norm Quadratic Average: 13.56755256652832
Nearest Class Center Accuracy: 0.990125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.951958656311035
Linear Weight Rank: 179
Intra Cos: 0.23335660994052887
Inter Cos: -0.019341394305229187
Norm Quadratic Average: 13.555981636047363
Nearest Class Center Accuracy: 0.9985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.948106288909912
Linear Weight Rank: 180
Intra Cos: 0.32290154695510864
Inter Cos: -0.032412782311439514
Norm Quadratic Average: 13.619782447814941
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0657570362091064
Linear Weight Rank: 4
Intra Cos: 0.4803156554698944
Inter Cos: -0.09743766486644745
Norm Quadratic Average: 13.785636901855469
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9643422961235046
Inter Cos: -0.11372602730989456
Norm Quadratic Average: 10.892424583435059
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3608198528289795
Accuracy: 0.8865
NC1 Within Class Collapse: 1.1583116054534912
NC2 Equinorm: Features: 0.010325595736503601, Weights: 0.05245799198746681
NC2 Equiangle: Features: 0.23612582683563232, Weights: 0.12735302249590555
NC3 Self-Duality: 0.22913393378257751
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.081865310668945
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: 8.052733421325684
Linear Weight Rank: 180
Intra Cos: 0.07212827354669571
Inter Cos: 0.0037697055377066135
Norm Quadratic Average: 13.660148620605469
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.000527381896973
Linear Weight Rank: 180
Intra Cos: 0.104807548224926
Inter Cos: 0.002255088184028864
Norm Quadratic Average: 13.627914428710938
Nearest Class Center Accuracy: 0.908

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005763053894043
Linear Weight Rank: 180
Intra Cos: 0.11744284629821777
Inter Cos: 0.0075393859297037125
Norm Quadratic Average: 13.587953567504883
Nearest Class Center Accuracy: 0.8945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965290546417236
Linear Weight Rank: 180
Intra Cos: 0.13309824466705322
Inter Cos: -0.0018660465721040964
Norm Quadratic Average: 13.555041313171387
Nearest Class Center Accuracy: 0.896

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978074550628662
Linear Weight Rank: 180
Intra Cos: 0.15882177650928497
Inter Cos: 0.0018848783802241087
Norm Quadratic Average: 13.570260047912598
Nearest Class Center Accuracy: 0.8865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.951958656311035
Linear Weight Rank: 179
Intra Cos: 0.18218880891799927
Inter Cos: -0.0029513039626181126
Norm Quadratic Average: 13.509904861450195
Nearest Class Center Accuracy: 0.887

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.948106288909912
Linear Weight Rank: 180
Intra Cos: 0.23385736346244812
Inter Cos: -0.01199750229716301
Norm Quadratic Average: 13.399025917053223
Nearest Class Center Accuracy: 0.893

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0657570362091064
Linear Weight Rank: 4
Intra Cos: 0.3385647237300873
Inter Cos: -0.034551896154880524
Norm Quadratic Average: 13.251724243164062
Nearest Class Center Accuracy: 0.8885

Output Layer:
Intra Cos: 0.7263695597648621
Inter Cos: -0.03268842771649361
Norm Quadratic Average: 10.061097145080566
Nearest Class Center Accuracy: 0.884

