Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.36370325088501
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: 6.372297286987305
Linear Weight Rank: 180
Intra Cos: 0.07607670873403549
Inter Cos: 0.0025278329849243164
Norm Quadratic Average: 10.838125228881836
Nearest Class Center Accuracy: 0.866125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.3296637535095215
Linear Weight Rank: 179
Intra Cos: 0.12057849764823914
Inter Cos: 0.001699578482657671
Norm Quadratic Average: 10.835969924926758
Nearest Class Center Accuracy: 0.931

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.3079304695129395
Linear Weight Rank: 180
Intra Cos: 0.16687652468681335
Inter Cos: 0.008000750094652176
Norm Quadratic Average: 10.816299438476562
Nearest Class Center Accuracy: 0.973

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.320084571838379
Linear Weight Rank: 180
Intra Cos: 0.24334870278835297
Inter Cos: 0.005895104259252548
Norm Quadratic Average: 10.807076454162598
Nearest Class Center Accuracy: 0.99925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1873531341552734
Linear Weight Rank: 4
Intra Cos: 0.45474690198898315
Inter Cos: -0.0537378191947937
Norm Quadratic Average: 11.016681671142578
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9401816725730896
Inter Cos: -0.10150924324989319
Norm Quadratic Average: 9.4002685546875
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.26213835763931276
Accuracy: 0.903
NC1 Within Class Collapse: 1.2380787134170532
NC2 Equinorm: Features: 0.03595462441444397, Weights: 0.015425927005708218
NC2 Equiangle: Features: 0.2842515508333842, Weights: 0.0978460709253947
NC3 Self-Duality: 0.19055598974227905
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.36370325088501
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: 6.372297286987305
Linear Weight Rank: 180
Intra Cos: 0.078101247549057
Inter Cos: 0.004252837039530277
Norm Quadratic Average: 10.830116271972656
Nearest Class Center Accuracy: 0.8715

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.3296637535095215
Linear Weight Rank: 179
Intra Cos: 0.11759772896766663
Inter Cos: 0.004701398313045502
Norm Quadratic Average: 10.838167190551758
Nearest Class Center Accuracy: 0.91

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.3079304695129395
Linear Weight Rank: 180
Intra Cos: 0.15591804683208466
Inter Cos: 0.013804336078464985
Norm Quadratic Average: 10.832974433898926
Nearest Class Center Accuracy: 0.917

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.320084571838379
Linear Weight Rank: 180
Intra Cos: 0.20637664198875427
Inter Cos: 0.011888980865478516
Norm Quadratic Average: 10.804086685180664
Nearest Class Center Accuracy: 0.9095

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1873531341552734
Linear Weight Rank: 4
Intra Cos: 0.3310084939002991
Inter Cos: -0.024227559566497803
Norm Quadratic Average: 10.8040132522583
Nearest Class Center Accuracy: 0.906

Output Layer:
Intra Cos: 0.7355196475982666
Inter Cos: -0.028470050543546677
Norm Quadratic Average: 8.997550010681152
Nearest Class Center Accuracy: 0.907

