Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.925379753112793
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 5.892611503601074
Linear Weight Rank: 180
Intra Cos: 0.07840085029602051
Inter Cos: 0.003167932853102684
Norm Quadratic Average: 10.112457275390625
Nearest Class Center Accuracy: 0.87625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854368209838867
Linear Weight Rank: 180
Intra Cos: 0.1224469318985939
Inter Cos: 0.0030991232488304377
Norm Quadratic Average: 10.09347152709961
Nearest Class Center Accuracy: 0.93375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.858056545257568
Linear Weight Rank: 180
Intra Cos: 0.1570800542831421
Inter Cos: -0.004468959756195545
Norm Quadratic Average: 10.088364601135254
Nearest Class Center Accuracy: 0.967125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830512523651123
Linear Weight Rank: 179
Intra Cos: 0.24366819858551025
Inter Cos: -0.018268773332238197
Norm Quadratic Average: 10.045022010803223
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.07161283493042
Linear Weight Rank: 4
Intra Cos: 0.4832482933998108
Inter Cos: -0.08010488748550415
Norm Quadratic Average: 10.193047523498535
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9432613253593445
Inter Cos: -0.12094248831272125
Norm Quadratic Average: 8.562826156616211
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25073991632461545
Accuracy: 0.901
NC1 Within Class Collapse: 1.116357684135437
NC2 Equinorm: Features: 0.013629941269755363, Weights: 0.029931126162409782
NC2 Equiangle: Features: 0.25110069910685223, Weights: 0.0892788569132487
NC3 Self-Duality: 0.17785508930683136
NC4 NCC Mismatch: 0.013499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.925379753112793
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
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: 5.892611503601074
Linear Weight Rank: 180
Intra Cos: 0.07924135774374008
Inter Cos: 0.0028461201582103968
Norm Quadratic Average: 10.094738960266113
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.854368209838867
Linear Weight Rank: 180
Intra Cos: 0.11815647780895233
Inter Cos: -0.0009312815964221954
Norm Quadratic Average: 10.124125480651855
Nearest Class Center Accuracy: 0.913

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.858056545257568
Linear Weight Rank: 180
Intra Cos: 0.14246289432048798
Inter Cos: 0.0043936618603765965
Norm Quadratic Average: 10.142311096191406
Nearest Class Center Accuracy: 0.9055

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830512523651123
Linear Weight Rank: 179
Intra Cos: 0.2018691450357437
Inter Cos: -0.0026811666321009398
Norm Quadratic Average: 10.075807571411133
Nearest Class Center Accuracy: 0.918

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.07161283493042
Linear Weight Rank: 4
Intra Cos: 0.3541601896286011
Inter Cos: -0.045813072472810745
Norm Quadratic Average: 10.012688636779785
Nearest Class Center Accuracy: 0.9055

Output Layer:
Intra Cos: 0.748496413230896
Inter Cos: -0.05715992674231529
Norm Quadratic Average: 8.185726165771484
Nearest Class Center Accuracy: 0.905

