Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.179254531860352
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 8.164260864257812
Linear Weight Rank: 179
Intra Cos: 0.12163520604372025
Inter Cos: 0.0076423208229243755
Norm Quadratic Average: 5.0349812507629395
Nearest Class Center Accuracy: 0.9265

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161882400512695
Linear Weight Rank: 179
Intra Cos: 0.4614802300930023
Inter Cos: 0.03212440013885498
Norm Quadratic Average: 4.032272815704346
Nearest Class Center Accuracy: 0.945625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.216719627380371
Linear Weight Rank: 179
Intra Cos: 0.639666736125946
Inter Cos: 0.06500275433063507
Norm Quadratic Average: 5.7880964279174805
Nearest Class Center Accuracy: 0.93825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197408676147461
Linear Weight Rank: 179
Intra Cos: 0.6797907948493958
Inter Cos: 0.08676832169294357
Norm Quadratic Average: 8.777078628540039
Nearest Class Center Accuracy: 0.94325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9735729694366455
Linear Weight Rank: 4
Intra Cos: 0.6829933524131775
Inter Cos: 0.08550073206424713
Norm Quadratic Average: 13.150702476501465
Nearest Class Center Accuracy: 0.95075

Output Layer:
Intra Cos: 0.7701972126960754
Inter Cos: 0.07582394033670425
Norm Quadratic Average: 24.260360717773438
Nearest Class Center Accuracy: 0.9605

Test Set:
Average Loss: 0.06022531414031983
Accuracy: 0.974
NC1 Within Class Collapse: 1.5627329349517822
NC2 Equinorm: Features: 0.04274345189332962, Weights: 0.06562603265047073
NC2 Equiangle: Features: 0.43006189664204914, Weights: 0.3745303551355998
NC3 Self-Duality: 0.13907581567764282
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.179254531860352
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
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: 8.164260864257812
Linear Weight Rank: 179
Intra Cos: 0.11959516257047653
Inter Cos: 0.005694085732102394
Norm Quadratic Average: 5.029882431030273
Nearest Class Center Accuracy: 0.9265

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.161882400512695
Linear Weight Rank: 179
Intra Cos: 0.45005008578300476
Inter Cos: 0.026980368420481682
Norm Quadratic Average: 4.0488200187683105
Nearest Class Center Accuracy: 0.9385

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.216719627380371
Linear Weight Rank: 179
Intra Cos: 0.6176263689994812
Inter Cos: 0.06229677051305771
Norm Quadratic Average: 5.817385196685791
Nearest Class Center Accuracy: 0.929

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.197408676147461
Linear Weight Rank: 179
Intra Cos: 0.6548527479171753
Inter Cos: 0.0833076536655426
Norm Quadratic Average: 8.824177742004395
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9735729694366455
Linear Weight Rank: 4
Intra Cos: 0.6557352542877197
Inter Cos: 0.08051100373268127
Norm Quadratic Average: 13.201984405517578
Nearest Class Center Accuracy: 0.9375

Output Layer:
Intra Cos: 0.7343387603759766
Inter Cos: 0.07638952881097794
Norm Quadratic Average: 24.299549102783203
Nearest Class Center Accuracy: 0.9485

