Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.181001663208008
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.083720207214355
Linear Weight Rank: 180
Intra Cos: 0.013546891510486603
Inter Cos: 0.0035726141650229692
Norm Quadratic Average: 4.812427997589111
Nearest Class Center Accuracy: 0.45825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067487716674805
Linear Weight Rank: 179
Intra Cos: 0.0323687419295311
Inter Cos: 0.010261899791657925
Norm Quadratic Average: 2.2202260494232178
Nearest Class Center Accuracy: 0.474375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095968246459961
Linear Weight Rank: 180
Intra Cos: 0.07302030175924301
Inter Cos: 0.0287496205419302
Norm Quadratic Average: 1.4135061502456665
Nearest Class Center Accuracy: 0.483125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076391220092773
Linear Weight Rank: 179
Intra Cos: 0.11232399195432663
Inter Cos: 0.05048539116978645
Norm Quadratic Average: 1.1966382265090942
Nearest Class Center Accuracy: 0.483625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8501019477844238
Linear Weight Rank: 4
Intra Cos: 0.13693387806415558
Inter Cos: 0.08907391875982285
Norm Quadratic Average: 1.1730146408081055
Nearest Class Center Accuracy: 0.47525

Output Layer:
Intra Cos: 0.14963240921497345
Inter Cos: 0.13433851301670074
Norm Quadratic Average: 1.2332074642181396
Nearest Class Center Accuracy: 0.462625

Test Set:
Average Loss: 1.2033046722412108
Accuracy: 0.473
NC1 Within Class Collapse: 27.007360458374023
NC2 Equinorm: Features: 0.14282307028770447, Weights: 0.03332043066620827
NC2 Equiangle: Features: 0.6287156343460083, Weights: 0.2328751484553019
NC3 Self-Duality: 0.4058433771133423
NC4 NCC Mismatch: 0.14100000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.181001663208008
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.083720207214355
Linear Weight Rank: 180
Intra Cos: 0.014718413352966309
Inter Cos: 0.00417693704366684
Norm Quadratic Average: 4.805736541748047
Nearest Class Center Accuracy: 0.472

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067487716674805
Linear Weight Rank: 179
Intra Cos: 0.03327944129705429
Inter Cos: 0.011510913260281086
Norm Quadratic Average: 2.2098138332366943
Nearest Class Center Accuracy: 0.4805

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095968246459961
Linear Weight Rank: 180
Intra Cos: 0.07407733052968979
Inter Cos: 0.03229285776615143
Norm Quadratic Average: 1.3999533653259277
Nearest Class Center Accuracy: 0.4825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.076391220092773
Linear Weight Rank: 179
Intra Cos: 0.10494332015514374
Inter Cos: 0.051702141761779785
Norm Quadratic Average: 1.182760238647461
Nearest Class Center Accuracy: 0.482

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8501019477844238
Linear Weight Rank: 4
Intra Cos: 0.1174737811088562
Inter Cos: 0.08012419939041138
Norm Quadratic Average: 1.1612749099731445
Nearest Class Center Accuracy: 0.47

Output Layer:
Intra Cos: 0.12177536636590958
Inter Cos: 0.11795847117900848
Norm Quadratic Average: 1.2252395153045654
Nearest Class Center Accuracy: 0.455

