Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_3_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.34135913848877
Linear Weight Rank: 16
Intra Cos: 0.014583897776901722
Inter Cos: 0.004829857032746077
Norm Quadratic Average: 3.9931399822235107
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.27505874633789
Linear Weight Rank: 179
Intra Cos: 0.014513068832457066
Inter Cos: 0.006532609928399324
Norm Quadratic Average: 5.007056713104248
Nearest Class Center Accuracy: 0.46775

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5653138160705566
Linear Weight Rank: 4
Intra Cos: 0.04158763960003853
Inter Cos: 0.01834638975560665
Norm Quadratic Average: 2.4559590816497803
Nearest Class Center Accuracy: 0.525

Output Layer:
Intra Cos: 0.17792360484600067
Inter Cos: 0.08132979273796082
Norm Quadratic Average: 1.5852807760238647
Nearest Class Center Accuracy: 0.546625

Test Set:
Average Loss: 1.1141364707946777
Accuracy: 0.521
NC1 Within Class Collapse: 16.949909210205078
NC2 Equinorm: Features: 0.10988780111074448, Weights: 0.02458713762462139
NC2 Equiangle: Features: 0.3851524591445923, Weights: 0.10115025440851848
NC3 Self-Duality: 0.3996105194091797
NC4 NCC Mismatch: 0.15800000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.34135913848877
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.27505874633789
Linear Weight Rank: 179
Intra Cos: 0.013871529139578342
Inter Cos: 0.00616489490494132
Norm Quadratic Average: 4.9817681312561035
Nearest Class Center Accuracy: 0.469

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.5653138160705566
Linear Weight Rank: 4
Intra Cos: 0.03592206537723541
Inter Cos: 0.018604250624775887
Norm Quadratic Average: 2.4372193813323975
Nearest Class Center Accuracy: 0.5035

Output Layer:
Intra Cos: 0.14831742644309998
Inter Cos: 0.08001668006181717
Norm Quadratic Average: 1.5699633359909058
Nearest Class Center Accuracy: 0.5115

