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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.881742000579834
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: 5.894168376922607
Linear Weight Rank: 180
Intra Cos: 0.076106958091259
Inter Cos: 0.0015488358912989497
Norm Quadratic Average: 10.194127082824707
Nearest Class Center Accuracy: 0.867375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8519110679626465
Linear Weight Rank: 179
Intra Cos: 0.12337276339530945
Inter Cos: 9.919633157551289e-05
Norm Quadratic Average: 10.168935775756836
Nearest Class Center Accuracy: 0.932375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.829963684082031
Linear Weight Rank: 180
Intra Cos: 0.17732957005500793
Inter Cos: 0.010564547032117844
Norm Quadratic Average: 10.107494354248047
Nearest Class Center Accuracy: 0.9735

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840417385101318
Linear Weight Rank: 180
Intra Cos: 0.2606276273727417
Inter Cos: 0.010803628712892532
Norm Quadratic Average: 10.059332847595215
Nearest Class Center Accuracy: 0.999125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1013290882110596
Linear Weight Rank: 4
Intra Cos: 0.4803881347179413
Inter Cos: -0.05356635898351669
Norm Quadratic Average: 10.178831100463867
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9463343024253845
Inter Cos: -0.0901450589299202
Norm Quadratic Average: 8.565592765808105
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2451449851989746
Accuracy: 0.9055
NC1 Within Class Collapse: 1.1703424453735352
NC2 Equinorm: Features: 0.021913213655352592, Weights: 0.014963088557124138
NC2 Equiangle: Features: 0.2758886416753133, Weights: 0.09320362408955891
NC3 Self-Duality: 0.1836094856262207
NC4 NCC Mismatch: 0.017000000000000015

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.881742000579834
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: 5.894168376922607
Linear Weight Rank: 180
Intra Cos: 0.07801482826471329
Inter Cos: 0.004490614868700504
Norm Quadratic Average: 10.186059951782227
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8519110679626465
Linear Weight Rank: 179
Intra Cos: 0.12061301618814468
Inter Cos: 0.00470355898141861
Norm Quadratic Average: 10.1695556640625
Nearest Class Center Accuracy: 0.9095

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.829963684082031
Linear Weight Rank: 180
Intra Cos: 0.16563935577869415
Inter Cos: 0.016374409198760986
Norm Quadratic Average: 10.122220039367676
Nearest Class Center Accuracy: 0.9185

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.840417385101318
Linear Weight Rank: 180
Intra Cos: 0.2200278341770172
Inter Cos: 0.015602201223373413
Norm Quadratic Average: 10.052203178405762
Nearest Class Center Accuracy: 0.913

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1013290882110596
Linear Weight Rank: 4
Intra Cos: 0.35826894640922546
Inter Cos: -0.02026691474020481
Norm Quadratic Average: 9.964577674865723
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7512717247009277
Inter Cos: -0.00914912298321724
Norm Quadratic Average: 8.18338394165039
Nearest Class Center Accuracy: 0.9105

