Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.995587348937988
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 7.93319034576416
Linear Weight Rank: 180
Intra Cos: 0.07554911822080612
Inter Cos: 0.0033057010732591152
Norm Quadratic Average: 13.64427661895752
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892187595367432
Linear Weight Rank: 180
Intra Cos: 0.11422819644212723
Inter Cos: 0.003159623360261321
Norm Quadratic Average: 13.634681701660156
Nearest Class Center Accuracy: 0.922875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.90364933013916
Linear Weight Rank: 180
Intra Cos: 0.14095743000507355
Inter Cos: -0.001361548202112317
Norm Quadratic Average: 13.630292892456055
Nearest Class Center Accuracy: 0.959125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.869332790374756
Linear Weight Rank: 180
Intra Cos: 0.20391494035720825
Inter Cos: -0.011467541567981243
Norm Quadratic Average: 13.569549560546875
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3971686363220215
Linear Weight Rank: 4
Intra Cos: 0.37524330615997314
Inter Cos: -0.04659980908036232
Norm Quadratic Average: 13.685490608215332
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9208364486694336
Inter Cos: -0.08041960000991821
Norm Quadratic Average: 11.899243354797363
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28803119945526123
Accuracy: 0.8955
NC1 Within Class Collapse: 1.295668363571167
NC2 Equinorm: Features: 0.015840735286474228, Weights: 0.03013789653778076
NC2 Equiangle: Features: 0.28674644231796265, Weights: 0.11460151274998982
NC3 Self-Duality: 0.21041099727153778
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.995587348937988
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 7.93319034576416
Linear Weight Rank: 180
Intra Cos: 0.07644955068826675
Inter Cos: 0.0026541820261627436
Norm Quadratic Average: 13.619492530822754
Nearest Class Center Accuracy: 0.8675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892187595367432
Linear Weight Rank: 180
Intra Cos: 0.1107988953590393
Inter Cos: -0.001000430784188211
Norm Quadratic Average: 13.664207458496094
Nearest Class Center Accuracy: 0.907

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.90364933013916
Linear Weight Rank: 180
Intra Cos: 0.1286928504705429
Inter Cos: 0.004499177448451519
Norm Quadratic Average: 13.68592643737793
Nearest Class Center Accuracy: 0.8935

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.869332790374756
Linear Weight Rank: 180
Intra Cos: 0.1728934943675995
Inter Cos: 0.0001594354398548603
Norm Quadratic Average: 13.606828689575195
Nearest Class Center Accuracy: 0.9145

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3971686363220215
Linear Weight Rank: 4
Intra Cos: 0.28273916244506836
Inter Cos: -0.028845535591244698
Norm Quadratic Average: 13.581404685974121
Nearest Class Center Accuracy: 0.904

Output Layer:
Intra Cos: 0.732256293296814
Inter Cos: -0.037641555070877075
Norm Quadratic Average: 11.554743766784668
Nearest Class Center Accuracy: 0.9005

