Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.526759147644043
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.537077903747559
Linear Weight Rank: 180
Intra Cos: 0.11959898471832275
Inter Cos: 0.003149137832224369
Norm Quadratic Average: 5.141568660736084
Nearest Class Center Accuracy: 0.92325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.517083168029785
Linear Weight Rank: 179
Intra Cos: 0.46176379919052124
Inter Cos: 0.023758355528116226
Norm Quadratic Average: 4.0850911140441895
Nearest Class Center Accuracy: 0.976

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.515137672424316
Linear Weight Rank: 179
Intra Cos: 0.6697618365287781
Inter Cos: 0.04202813282608986
Norm Quadratic Average: 5.725057601928711
Nearest Class Center Accuracy: 0.982625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552366256713867
Linear Weight Rank: 180
Intra Cos: 0.7273447513580322
Inter Cos: 0.03965561464428902
Norm Quadratic Average: 8.791927337646484
Nearest Class Center Accuracy: 0.987

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.978391170501709
Linear Weight Rank: 4
Intra Cos: 0.740511953830719
Inter Cos: 0.052803777158260345
Norm Quadratic Average: 13.083784103393555
Nearest Class Center Accuracy: 0.98775

Output Layer:
Intra Cos: 0.8344980478286743
Inter Cos: 0.08382250368595123
Norm Quadratic Average: 24.23798179626465
Nearest Class Center Accuracy: 0.9875

Test Set:
Average Loss: 0.062247483015060424
Accuracy: 0.9725
NC1 Within Class Collapse: 1.302911639213562
NC2 Equinorm: Features: 0.046675700694322586, Weights: 0.03691358491778374
NC2 Equiangle: Features: 0.4295452833175659, Weights: 0.3562602202097575
NC3 Self-Duality: 0.12339986115694046
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.526759147644043
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.537077903747559
Linear Weight Rank: 180
Intra Cos: 0.1226290911436081
Inter Cos: 0.008702320978045464
Norm Quadratic Average: 5.139633655548096
Nearest Class Center Accuracy: 0.93

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.517083168029785
Linear Weight Rank: 179
Intra Cos: 0.4732491970062256
Inter Cos: 0.042104579508304596
Norm Quadratic Average: 4.120590686798096
Nearest Class Center Accuracy: 0.961

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.515137672424316
Linear Weight Rank: 179
Intra Cos: 0.6767306327819824
Inter Cos: 0.06540991365909576
Norm Quadratic Average: 5.78763484954834
Nearest Class Center Accuracy: 0.9645

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552366256713867
Linear Weight Rank: 180
Intra Cos: 0.7209085822105408
Inter Cos: 0.06071854382753372
Norm Quadratic Average: 8.878042221069336
Nearest Class Center Accuracy: 0.9685

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.978391170501709
Linear Weight Rank: 4
Intra Cos: 0.7266932725906372
Inter Cos: 0.07261035591363907
Norm Quadratic Average: 13.198867797851562
Nearest Class Center Accuracy: 0.9685

Output Layer:
Intra Cos: 0.8216205835342407
Inter Cos: 0.10589565336704254
Norm Quadratic Average: 24.40736961364746
Nearest Class Center Accuracy: 0.9685

