Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7425591945648193
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 1.745639681816101
Linear Weight Rank: 179
Intra Cos: 0.06387908011674881
Inter Cos: 0.007546082139015198
Norm Quadratic Average: 1.038488507270813
Nearest Class Center Accuracy: 0.82425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7498005628585815
Linear Weight Rank: 179
Intra Cos: 0.056187957525253296
Inter Cos: 0.004543142858892679
Norm Quadratic Average: 0.08105294406414032
Nearest Class Center Accuracy: 0.7405

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7373861074447632
Linear Weight Rank: 179
Intra Cos: 0.05738126486539841
Inter Cos: 0.0031193289905786514
Norm Quadratic Average: 0.007021187338978052
Nearest Class Center Accuracy: 0.69675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.739357829093933
Linear Weight Rank: 180
Intra Cos: 0.06763289868831635
Inter Cos: 0.009238767437636852
Norm Quadratic Average: 0.0006359291728585958
Nearest Class Center Accuracy: 0.689

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2536853849887848
Linear Weight Rank: 4
Intra Cos: 0.07825130224227905
Inter Cos: 0.011385327205061913
Norm Quadratic Average: 6.1003764130873606e-05
Nearest Class Center Accuracy: 0.693375

Output Layer:
Intra Cos: 0.277511864900589
Inter Cos: 0.10958382487297058
Norm Quadratic Average: 1.8569779740573722e-06
Nearest Class Center Accuracy: 0.673625

Test Set:
Average Loss: 1.3871535110473632
Accuracy: 0.257
NC1 Within Class Collapse: 39.790748596191406
NC2 Equinorm: Features: 0.11522532254457474, Weights: 0.0345291942358017
NC2 Equiangle: Features: 0.42889312903086346, Weights: 0.3201722304026286
NC3 Self-Duality: 1.3508049249649048
NC4 NCC Mismatch: 0.7755

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.7425591945648193
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 1.745639681816101
Linear Weight Rank: 179
Intra Cos: 0.06351105868816376
Inter Cos: 0.009303241968154907
Norm Quadratic Average: 1.0370856523513794
Nearest Class Center Accuracy: 0.825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7498005628585815
Linear Weight Rank: 179
Intra Cos: 0.05402498319745064
Inter Cos: 0.006297781597822905
Norm Quadratic Average: 0.08101135492324829
Nearest Class Center Accuracy: 0.7475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7373861074447632
Linear Weight Rank: 179
Intra Cos: 0.0557854101061821
Inter Cos: 0.005635352805256844
Norm Quadratic Average: 0.007013889495283365
Nearest Class Center Accuracy: 0.711

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.739357829093933
Linear Weight Rank: 180
Intra Cos: 0.06466866284608841
Inter Cos: 0.0130520761013031
Norm Quadratic Average: 0.0006357855745591223
Nearest Class Center Accuracy: 0.7095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.2536853849887848
Linear Weight Rank: 4
Intra Cos: 0.07604336738586426
Inter Cos: 0.013282323256134987
Norm Quadratic Average: 6.110281537985429e-05
Nearest Class Center Accuracy: 0.713

Output Layer:
Intra Cos: 0.2798701226711273
Inter Cos: 0.11736670881509781
Norm Quadratic Average: 1.857656798165408e-06
Nearest Class Center Accuracy: 0.687

