Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1628252267837524
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: 1.3403352499008179
Linear Weight Rank: 179
Intra Cos: 0.11978265643119812
Inter Cos: 0.005765268579125404
Norm Quadratic Average: 1.7889925241470337
Nearest Class Center Accuracy: 0.931

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1771656274795532
Linear Weight Rank: 179
Intra Cos: 0.17846402525901794
Inter Cos: -0.003112076548859477
Norm Quadratic Average: 1.605333685874939
Nearest Class Center Accuracy: 0.991375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.076339602470398
Linear Weight Rank: 178
Intra Cos: 0.38957589864730835
Inter Cos: 0.0012266254052519798
Norm Quadratic Average: 1.5657029151916504
Nearest Class Center Accuracy: 0.999875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0790646076202393
Linear Weight Rank: 178
Intra Cos: 0.8129838705062866
Inter Cos: -0.05882866680622101
Norm Quadratic Average: 1.7003589868545532
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.159564256668091
Linear Weight Rank: 4
Intra Cos: 0.9919268488883972
Inter Cos: -0.27847516536712646
Norm Quadratic Average: 2.7684054374694824
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9994380474090576
Inter Cos: -0.2588482201099396
Norm Quadratic Average: 3.43318772315979
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1719619574546814
Accuracy: 0.954
NC1 Within Class Collapse: 0.31580930948257446
NC2 Equinorm: Features: 0.011064885184168816, Weights: 0.01822284422814846
NC2 Equiangle: Features: 0.10132188598314922, Weights: 0.024694810310999554
NC3 Self-Duality: 0.012526006437838078
NC4 NCC Mismatch: 0.0040000000000000036

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1628252267837524
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: 1.3403352499008179
Linear Weight Rank: 179
Intra Cos: 0.12275233119726181
Inter Cos: 0.0059312619268894196
Norm Quadratic Average: 1.7910033464431763
Nearest Class Center Accuracy: 0.929

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1771656274795532
Linear Weight Rank: 179
Intra Cos: 0.1764259785413742
Inter Cos: 0.0019850709941238165
Norm Quadratic Average: 1.6043000221252441
Nearest Class Center Accuracy: 0.9545

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.076339602470398
Linear Weight Rank: 178
Intra Cos: 0.3565550744533539
Inter Cos: 0.01571488007903099
Norm Quadratic Average: 1.5503345727920532
Nearest Class Center Accuracy: 0.953

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0790646076202393
Linear Weight Rank: 178
Intra Cos: 0.704042911529541
Inter Cos: -0.02103692665696144
Norm Quadratic Average: 1.6451064348220825
Nearest Class Center Accuracy: 0.9555

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.159564256668091
Linear Weight Rank: 4
Intra Cos: 0.8731784224510193
Inter Cos: -0.19377487897872925
Norm Quadratic Average: 2.604541063308716
Nearest Class Center Accuracy: 0.955

Output Layer:
Intra Cos: 0.8834420442581177
Inter Cos: -0.17743994295597076
Norm Quadratic Average: 3.224311351776123
Nearest Class Center Accuracy: 0.9545

