Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.2487211227417
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 8.182844161987305
Linear Weight Rank: 180
Intra Cos: 0.07523331046104431
Inter Cos: 0.0027348888106644154
Norm Quadratic Average: 14.082025527954102
Nearest Class Center Accuracy: 0.870625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.141189575195312
Linear Weight Rank: 180
Intra Cos: 0.11394404619932175
Inter Cos: 0.0027941714506596327
Norm Quadratic Average: 14.055837631225586
Nearest Class Center Accuracy: 0.924

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.153559684753418
Linear Weight Rank: 180
Intra Cos: 0.14044524729251862
Inter Cos: -0.0009388069156557322
Norm Quadratic Average: 14.051543235778809
Nearest Class Center Accuracy: 0.958375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11837100982666
Linear Weight Rank: 180
Intra Cos: 0.20003798604011536
Inter Cos: -0.01198974996805191
Norm Quadratic Average: 14.009100914001465
Nearest Class Center Accuracy: 0.99675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4172894954681396
Linear Weight Rank: 4
Intra Cos: 0.36179518699645996
Inter Cos: -0.04570939764380455
Norm Quadratic Average: 14.120485305786133
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9161202907562256
Inter Cos: -0.08164418488740921
Norm Quadratic Average: 12.268295288085938
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28760771226882936
Accuracy: 0.9
NC1 Within Class Collapse: 1.3037242889404297
NC2 Equinorm: Features: 0.02042069286108017, Weights: 0.029947752133011818
NC2 Equiangle: Features: 0.289722482363383, Weights: 0.11909982562065125
NC3 Self-Duality: 0.21496130526065826
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.2487211227417
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.182844161987305
Linear Weight Rank: 180
Intra Cos: 0.07621695101261139
Inter Cos: 0.0031201408710330725
Norm Quadratic Average: 14.056421279907227
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.141189575195312
Linear Weight Rank: 180
Intra Cos: 0.11049000918865204
Inter Cos: -0.0011801003711298108
Norm Quadratic Average: 14.090209007263184
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.153559684753418
Linear Weight Rank: 180
Intra Cos: 0.12855900824069977
Inter Cos: 0.0034576749894768
Norm Quadratic Average: 14.111213684082031
Nearest Class Center Accuracy: 0.8965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11837100982666
Linear Weight Rank: 180
Intra Cos: 0.17012687027454376
Inter Cos: -0.0006152547430247068
Norm Quadratic Average: 14.053465843200684
Nearest Class Center Accuracy: 0.912

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4172894954681396
Linear Weight Rank: 4
Intra Cos: 0.2746564447879791
Inter Cos: -0.027773214504122734
Norm Quadratic Average: 14.031163215637207
Nearest Class Center Accuracy: 0.906

Output Layer:
Intra Cos: 0.7422116994857788
Inter Cos: -0.03305286541581154
Norm Quadratic Average: 11.951188087463379
Nearest Class Center Accuracy: 0.903

