Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.540786743164062
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 8.520270347595215
Linear Weight Rank: 179
Intra Cos: 0.1184525191783905
Inter Cos: 0.0076485853642225266
Norm Quadratic Average: 5.2484540939331055
Nearest Class Center Accuracy: 0.92425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.517106056213379
Linear Weight Rank: 179
Intra Cos: 0.4490226209163666
Inter Cos: 0.031098920851945877
Norm Quadratic Average: 4.243150234222412
Nearest Class Center Accuracy: 0.946875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.574151039123535
Linear Weight Rank: 179
Intra Cos: 0.6358726620674133
Inter Cos: 0.0625806599855423
Norm Quadratic Average: 6.137684345245361
Nearest Class Center Accuracy: 0.939125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552703857421875
Linear Weight Rank: 179
Intra Cos: 0.6796711087226868
Inter Cos: 0.08416981250047684
Norm Quadratic Average: 9.43576717376709
Nearest Class Center Accuracy: 0.9445

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0183067321777344
Linear Weight Rank: 4
Intra Cos: 0.6825060844421387
Inter Cos: 0.08346588909626007
Norm Quadratic Average: 14.340486526489258
Nearest Class Center Accuracy: 0.95125

Output Layer:
Intra Cos: 0.7699452638626099
Inter Cos: 0.07407235354185104
Norm Quadratic Average: 26.742074966430664
Nearest Class Center Accuracy: 0.9615

Test Set:
Average Loss: 0.059999026775360106
Accuracy: 0.9745
NC1 Within Class Collapse: 1.5753962993621826
NC2 Equinorm: Features: 0.04342604801058769, Weights: 0.06506955623626709
NC2 Equiangle: Features: 0.42986265818277997, Weights: 0.3718668222427368
NC3 Self-Duality: 0.14605671167373657
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.540786743164062
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.520270347595215
Linear Weight Rank: 179
Intra Cos: 0.11642216891050339
Inter Cos: 0.005820304621011019
Norm Quadratic Average: 5.242650508880615
Nearest Class Center Accuracy: 0.924

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.517106056213379
Linear Weight Rank: 179
Intra Cos: 0.43793392181396484
Inter Cos: 0.026475047692656517
Norm Quadratic Average: 4.259531021118164
Nearest Class Center Accuracy: 0.938

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.574151039123535
Linear Weight Rank: 179
Intra Cos: 0.6139132976531982
Inter Cos: 0.05974018573760986
Norm Quadratic Average: 6.168104648590088
Nearest Class Center Accuracy: 0.9285

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552703857421875
Linear Weight Rank: 179
Intra Cos: 0.6547402143478394
Inter Cos: 0.08065656572580338
Norm Quadratic Average: 9.485846519470215
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0183067321777344
Linear Weight Rank: 4
Intra Cos: 0.6550588607788086
Inter Cos: 0.07836409658193588
Norm Quadratic Average: 14.395528793334961
Nearest Class Center Accuracy: 0.938

Output Layer:
Intra Cos: 0.7337627410888672
Inter Cos: 0.07443034648895264
Norm Quadratic Average: 26.784311294555664
Nearest Class Center Accuracy: 0.9485

