Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.015559673309326
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 7.0949602127075195
Linear Weight Rank: 179
Intra Cos: 0.07569713145494461
Inter Cos: 0.006016235798597336
Norm Quadratic Average: 12.09174919128418
Nearest Class Center Accuracy: 0.86925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.080676078796387
Linear Weight Rank: 179
Intra Cos: 0.10514894127845764
Inter Cos: 0.006749485619366169
Norm Quadratic Average: 12.070145606994629
Nearest Class Center Accuracy: 0.91325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012766361236572
Linear Weight Rank: 179
Intra Cos: 0.13127878308296204
Inter Cos: 0.006649994757026434
Norm Quadratic Average: 12.054746627807617
Nearest Class Center Accuracy: 0.94475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.007080554962158
Linear Weight Rank: 179
Intra Cos: 0.14846272766590118
Inter Cos: 0.0019757081754505634
Norm Quadratic Average: 12.024160385131836
Nearest Class Center Accuracy: 0.974375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.016753196716309
Linear Weight Rank: 179
Intra Cos: 0.18407411873340607
Inter Cos: -6.538140587508678e-05
Norm Quadratic Average: 12.013936996459961
Nearest Class Center Accuracy: 0.993625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.9941606521606445
Linear Weight Rank: 180
Intra Cos: 0.2550337612628937
Inter Cos: -0.008991005830466747
Norm Quadratic Average: 11.992393493652344
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.98639440536499
Linear Weight Rank: 179
Intra Cos: 0.3681647777557373
Inter Cos: -0.05497545376420021
Norm Quadratic Average: 11.969342231750488
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9289313554763794
Linear Weight Rank: 4
Intra Cos: 0.5491175651550293
Inter Cos: -0.10733138769865036
Norm Quadratic Average: 12.135952949523926
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9707464575767517
Inter Cos: -0.1633267104625702
Norm Quadratic Average: 9.451546669006348
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38612071609497073
Accuracy: 0.8775
NC1 Within Class Collapse: 1.1747026443481445
NC2 Equinorm: Features: 0.0148359015583992, Weights: 0.03906992822885513
NC2 Equiangle: Features: 0.20983084042867026, Weights: 0.12237566709518433
NC3 Self-Duality: 0.21899089217185974
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.015559673309326
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0949602127075195
Linear Weight Rank: 179
Intra Cos: 0.07733837515115738
Inter Cos: 0.007139952853322029
Norm Quadratic Average: 12.073335647583008
Nearest Class Center Accuracy: 0.875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.080676078796387
Linear Weight Rank: 179
Intra Cos: 0.10002469271421432
Inter Cos: 0.0007547931745648384
Norm Quadratic Average: 12.094164848327637
Nearest Class Center Accuracy: 0.8985

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012766361236572
Linear Weight Rank: 179
Intra Cos: 0.12147008627653122
Inter Cos: 0.0018229923443868756
Norm Quadratic Average: 12.062662124633789
Nearest Class Center Accuracy: 0.897

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.007080554962158
Linear Weight Rank: 179
Intra Cos: 0.13894116878509521
Inter Cos: 0.0006296404171735048
Norm Quadratic Average: 12.03417682647705
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.016753196716309
Linear Weight Rank: 179
Intra Cos: 0.16130414605140686
Inter Cos: -0.0013543531531468034
Norm Quadratic Average: 11.989529609680176
Nearest Class Center Accuracy: 0.896

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.9941606521606445
Linear Weight Rank: 180
Intra Cos: 0.20169128477573395
Inter Cos: -0.006706700194627047
Norm Quadratic Average: 11.88048267364502
Nearest Class Center Accuracy: 0.8915

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.98639440536499
Linear Weight Rank: 179
Intra Cos: 0.25494712591171265
Inter Cos: -0.020805029198527336
Norm Quadratic Average: 11.707225799560547
Nearest Class Center Accuracy: 0.884

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9289313554763794
Linear Weight Rank: 4
Intra Cos: 0.3715958595275879
Inter Cos: -0.055801745504140854
Norm Quadratic Average: 11.542871475219727
Nearest Class Center Accuracy: 0.879

Output Layer:
Intra Cos: 0.7089989185333252
Inter Cos: -0.06659242510795593
Norm Quadratic Average: 8.638067245483398
Nearest Class Center Accuracy: 0.8765

