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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.367750644683838
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: 5.411001205444336
Linear Weight Rank: 180
Intra Cos: 0.1573658287525177
Inter Cos: 0.003691860008984804
Norm Quadratic Average: 3.317438840866089
Nearest Class Center Accuracy: 0.945875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.410464763641357
Linear Weight Rank: 179
Intra Cos: 0.5876256823539734
Inter Cos: 0.02626383677124977
Norm Quadratic Average: 2.4791505336761475
Nearest Class Center Accuracy: 0.9615

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.425434589385986
Linear Weight Rank: 179
Intra Cos: 0.7047314643859863
Inter Cos: 0.03527585789561272
Norm Quadratic Average: 3.262153148651123
Nearest Class Center Accuracy: 0.9645

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.47119665145874
Linear Weight Rank: 179
Intra Cos: 0.7186002731323242
Inter Cos: 0.0465620681643486
Norm Quadratic Average: 4.472088813781738
Nearest Class Center Accuracy: 0.966375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6481451988220215
Linear Weight Rank: 4
Intra Cos: 0.7501345276832581
Inter Cos: 0.07260534912347794
Norm Quadratic Average: 6.1117730140686035
Nearest Class Center Accuracy: 0.971375

Output Layer:
Intra Cos: 0.8128264546394348
Inter Cos: 0.13204681873321533
Norm Quadratic Average: 10.644410133361816
Nearest Class Center Accuracy: 0.967125

Test Set:
Average Loss: 0.10223904991149903
Accuracy: 0.971
NC1 Within Class Collapse: 1.5547007322311401
NC2 Equinorm: Features: 0.056204695254564285, Weights: 0.08832981437444687
NC2 Equiangle: Features: 0.4345542589823405, Weights: 0.39386701583862305
NC3 Self-Duality: 0.06528130918741226
NC4 NCC Mismatch: 0.02749999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.367750644683838
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: 5.411001205444336
Linear Weight Rank: 180
Intra Cos: 0.16098564863204956
Inter Cos: 0.010339107364416122
Norm Quadratic Average: 3.3196842670440674
Nearest Class Center Accuracy: 0.944

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.410464763641357
Linear Weight Rank: 179
Intra Cos: 0.5892297625541687
Inter Cos: 0.04679316282272339
Norm Quadratic Average: 2.504201889038086
Nearest Class Center Accuracy: 0.9525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.425434589385986
Linear Weight Rank: 179
Intra Cos: 0.6990727186203003
Inter Cos: 0.05579225718975067
Norm Quadratic Average: 3.2951457500457764
Nearest Class Center Accuracy: 0.9545

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.47119665145874
Linear Weight Rank: 179
Intra Cos: 0.7136399149894714
Inter Cos: 0.06444443017244339
Norm Quadratic Average: 4.512455463409424
Nearest Class Center Accuracy: 0.96

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6481451988220215
Linear Weight Rank: 4
Intra Cos: 0.7451536059379578
Inter Cos: 0.09009350091218948
Norm Quadratic Average: 6.1585917472839355
Nearest Class Center Accuracy: 0.965

Output Layer:
Intra Cos: 0.8008906245231628
Inter Cos: 0.15532903373241425
Norm Quadratic Average: 10.697782516479492
Nearest Class Center Accuracy: 0.9645

