Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.159891366958618
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 3.3168699741363525
Linear Weight Rank: 179
Intra Cos: 0.08969320356845856
Inter Cos: 0.006599449086934328
Norm Quadratic Average: 5.433699131011963
Nearest Class Center Accuracy: 0.893625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.25989031791687
Linear Weight Rank: 179
Intra Cos: 0.12677481770515442
Inter Cos: 0.007733815815299749
Norm Quadratic Average: 5.398623466491699
Nearest Class Center Accuracy: 0.931875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1939656734466553
Linear Weight Rank: 180
Intra Cos: 0.1559227555990219
Inter Cos: -0.0005340472562238574
Norm Quadratic Average: 5.390337944030762
Nearest Class Center Accuracy: 0.970375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1607136726379395
Linear Weight Rank: 179
Intra Cos: 0.19848096370697021
Inter Cos: -0.005561948288232088
Norm Quadratic Average: 5.357665538787842
Nearest Class Center Accuracy: 0.99275

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1448280811309814
Linear Weight Rank: 179
Intra Cos: 0.2891218364238739
Inter Cos: -0.009033665992319584
Norm Quadratic Average: 5.346930503845215
Nearest Class Center Accuracy: 0.99925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1261773109436035
Linear Weight Rank: 180
Intra Cos: 0.4458761215209961
Inter Cos: -0.04575013741850853
Norm Quadratic Average: 5.3362202644348145
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1188769340515137
Linear Weight Rank: 179
Intra Cos: 0.698776364326477
Inter Cos: -0.11348417401313782
Norm Quadratic Average: 5.35413122177124
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6718080043792725
Linear Weight Rank: 4
Intra Cos: 0.9065197706222534
Inter Cos: -0.23803645372390747
Norm Quadratic Average: 5.646882057189941
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9933528304100037
Inter Cos: -0.2596553564071655
Norm Quadratic Average: 5.022071361541748
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2768799018859863
Accuracy: 0.904
NC1 Within Class Collapse: 0.7679535150527954
NC2 Equinorm: Features: 0.010584579780697823, Weights: 0.028495177626609802
NC2 Equiangle: Features: 0.13873360554377237, Weights: 0.042668680349985756
NC3 Self-Duality: 0.08432295173406601
NC4 NCC Mismatch: 0.0020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.159891366958618
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: 3.3168699741363525
Linear Weight Rank: 179
Intra Cos: 0.08850882947444916
Inter Cos: 0.007619970012456179
Norm Quadratic Average: 5.4280290603637695
Nearest Class Center Accuracy: 0.9015

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.25989031791687
Linear Weight Rank: 179
Intra Cos: 0.12234046310186386
Inter Cos: 0.0020994353108108044
Norm Quadratic Average: 5.4070892333984375
Nearest Class Center Accuracy: 0.909

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1939656734466553
Linear Weight Rank: 180
Intra Cos: 0.14299261569976807
Inter Cos: 0.0007588124135509133
Norm Quadratic Average: 5.387691497802734
Nearest Class Center Accuracy: 0.9215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1607136726379395
Linear Weight Rank: 179
Intra Cos: 0.1831662952899933
Inter Cos: -0.007025375030934811
Norm Quadratic Average: 5.344280242919922
Nearest Class Center Accuracy: 0.9145

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1448280811309814
Linear Weight Rank: 179
Intra Cos: 0.2309139221906662
Inter Cos: -0.010098231956362724
Norm Quadratic Average: 5.296970367431641
Nearest Class Center Accuracy: 0.9215

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1261773109436035
Linear Weight Rank: 180
Intra Cos: 0.33969950675964355
Inter Cos: -0.030788274481892586
Norm Quadratic Average: 5.204160690307617
Nearest Class Center Accuracy: 0.912

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1188769340515137
Linear Weight Rank: 179
Intra Cos: 0.5048796534538269
Inter Cos: -0.03784550726413727
Norm Quadratic Average: 5.099248886108398
Nearest Class Center Accuracy: 0.9075

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6718080043792725
Linear Weight Rank: 4
Intra Cos: 0.6459327936172485
Inter Cos: -0.1311521679162979
Norm Quadratic Average: 5.173018932342529
Nearest Class Center Accuracy: 0.904

Output Layer:
Intra Cos: 0.740979790687561
Inter Cos: -0.12522152066230774
Norm Quadratic Average: 4.522035598754883
Nearest Class Center Accuracy: 0.904

