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_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.124284744262695
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: 7.129073619842529
Linear Weight Rank: 180
Intra Cos: 0.07446245849132538
Inter Cos: 0.0013770200312137604
Norm Quadratic Average: 12.352790832519531
Nearest Class Center Accuracy: 0.864125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08433198928833
Linear Weight Rank: 179
Intra Cos: 0.11819731444120407
Inter Cos: 0.00038049230352044106
Norm Quadratic Average: 12.324203491210938
Nearest Class Center Accuracy: 0.928125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.061695575714111
Linear Weight Rank: 180
Intra Cos: 0.16421407461166382
Inter Cos: 0.009280404075980186
Norm Quadratic Average: 12.254145622253418
Nearest Class Center Accuracy: 0.968

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076107978820801
Linear Weight Rank: 180
Intra Cos: 0.23223388195037842
Inter Cos: 0.01156635768711567
Norm Quadratic Average: 12.198665618896484
Nearest Class Center Accuracy: 0.99825

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2849152088165283
Linear Weight Rank: 4
Intra Cos: 0.4042154550552368
Inter Cos: -0.03757361322641373
Norm Quadratic Average: 12.292078971862793
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9313040971755981
Inter Cos: -0.06619700789451599
Norm Quadratic Average: 10.447054862976074
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2623908338546753
Accuracy: 0.9045
NC1 Within Class Collapse: 1.3012595176696777
NC2 Equinorm: Features: 0.024620259180665016, Weights: 0.01632961630821228
NC2 Equiangle: Features: 0.2975187102953593, Weights: 0.1088192065556844
NC3 Self-Duality: 0.20507216453552246
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.124284744262695
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: 7.129073619842529
Linear Weight Rank: 180
Intra Cos: 0.0762990415096283
Inter Cos: 0.004489809740334749
Norm Quadratic Average: 12.34149169921875
Nearest Class Center Accuracy: 0.8665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.08433198928833
Linear Weight Rank: 179
Intra Cos: 0.11621110886335373
Inter Cos: 0.004665902350097895
Norm Quadratic Average: 12.322206497192383
Nearest Class Center Accuracy: 0.9025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.061695575714111
Linear Weight Rank: 180
Intra Cos: 0.15450352430343628
Inter Cos: 0.014584716409444809
Norm Quadratic Average: 12.264647483825684
Nearest Class Center Accuracy: 0.9165

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.076107978820801
Linear Weight Rank: 180
Intra Cos: 0.19796618819236755
Inter Cos: 0.014295930042862892
Norm Quadratic Average: 12.200116157531738
Nearest Class Center Accuracy: 0.91

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2849152088165283
Linear Weight Rank: 4
Intra Cos: 0.3046486973762512
Inter Cos: -0.012774912640452385
Norm Quadratic Average: 12.113530158996582
Nearest Class Center Accuracy: 0.9115

Output Layer:
Intra Cos: 0.7496066093444824
Inter Cos: -0.0004963614046573639
Norm Quadratic Average: 10.079456329345703
Nearest Class Center Accuracy: 0.9065

