Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.108244895935059
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.108550071716309
Linear Weight Rank: 180
Intra Cos: 0.07330489158630371
Inter Cos: 0.0013572638854384422
Norm Quadratic Average: 14.061485290527344
Nearest Class Center Accuracy: 0.8605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06059741973877
Linear Weight Rank: 179
Intra Cos: 0.11423324793577194
Inter Cos: 0.0007814408745616674
Norm Quadratic Average: 14.030138969421387
Nearest Class Center Accuracy: 0.9275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036938667297363
Linear Weight Rank: 180
Intra Cos: 0.15685072541236877
Inter Cos: 0.009048563428223133
Norm Quadratic Average: 13.951354026794434
Nearest Class Center Accuracy: 0.966

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05428695678711
Linear Weight Rank: 180
Intra Cos: 0.21771258115768433
Inter Cos: 0.012770024128258228
Norm Quadratic Average: 13.893638610839844
Nearest Class Center Accuracy: 0.996625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.439512252807617
Linear Weight Rank: 4
Intra Cos: 0.3659427762031555
Inter Cos: -0.02905339002609253
Norm Quadratic Average: 13.976285934448242
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9220199584960938
Inter Cos: -0.0488150492310524
Norm Quadratic Average: 12.14295482635498
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28212255001068115
Accuracy: 0.9065
NC1 Within Class Collapse: 1.3954869508743286
NC2 Equinorm: Features: 0.027779899537563324, Weights: 0.01716141775250435
NC2 Equiangle: Features: 0.31126383940378827, Weights: 0.11897343397140503
NC3 Self-Duality: 0.2216697484254837
NC4 NCC Mismatch: 0.026000000000000023

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.108244895935059
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 8.108550071716309
Linear Weight Rank: 180
Intra Cos: 0.07511007785797119
Inter Cos: 0.004519996698945761
Norm Quadratic Average: 14.048002243041992
Nearest Class Center Accuracy: 0.863

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06059741973877
Linear Weight Rank: 179
Intra Cos: 0.1134161427617073
Inter Cos: 0.004974043928086758
Norm Quadratic Average: 14.026333808898926
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036938667297363
Linear Weight Rank: 180
Intra Cos: 0.14762364327907562
Inter Cos: 0.014378953725099564
Norm Quadratic Average: 13.959966659545898
Nearest Class Center Accuracy: 0.913

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05428695678711
Linear Weight Rank: 180
Intra Cos: 0.1871349960565567
Inter Cos: 0.015792323276400566
Norm Quadratic Average: 13.897345542907715
Nearest Class Center Accuracy: 0.9015

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.439512252807617
Linear Weight Rank: 4
Intra Cos: 0.2767444849014282
Inter Cos: -0.006842159666121006
Norm Quadratic Average: 13.809947967529297
Nearest Class Center Accuracy: 0.907

Output Layer:
Intra Cos: 0.7374071478843689
Inter Cos: 0.010882973670959473
Norm Quadratic Average: 11.774057388305664
Nearest Class Center Accuracy: 0.9065

