Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_338327_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04611595720052719
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: 0.04591924697160721
Linear Weight Rank: 180
Intra Cos: 0.062365394085645676
Inter Cos: 0.001531653106212616
Norm Quadratic Average: 0.026967471465468407
Nearest Class Center Accuracy: 0.798875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045779623091220856
Linear Weight Rank: 180
Intra Cos: 0.046205028891563416
Inter Cos: 0.007922334596514702
Norm Quadratic Average: 5.9881142078666016e-05
Nearest Class Center Accuracy: 0.6905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04570784792304039
Linear Weight Rank: 179
Intra Cos: 0.05588449537754059
Inter Cos: 0.011935616843402386
Norm Quadratic Average: 1.3905550133586075e-07
Nearest Class Center Accuracy: 0.602

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0458403117954731
Linear Weight Rank: 180
Intra Cos: 0.9094415903091431
Inter Cos: 0.9106646776199341
Norm Quadratic Average: 1.0645970771605562e-09
Nearest Class Center Accuracy: 0.419

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006735535804182291
Linear Weight Rank: 4
Intra Cos: 0.9998661875724792
Inter Cos: 0.9999064803123474
Norm Quadratic Average: 1.2691367956563226e-09
Nearest Class Center Accuracy: 0.26375

Output Layer:
Intra Cos: 0.9999997019767761
Inter Cos: 1.0000001192092896
Norm Quadratic Average: 5.462347729690009e-08
Nearest Class Center Accuracy: 0.2285

Test Set:
Average Loss: 1.3866842956542969
Accuracy: 0.257
NC1 Within Class Collapse: 2.280571460723877
NC2 Equinorm: Features: 0.1482856273651123, Weights: 0.04334336891770363
NC2 Equiangle: Features: 0.3280847668647766, Weights: 0.2640500068664551
NC3 Self-Duality: 2.224409341812134
NC4 NCC Mismatch: 1.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04611595720052719
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: 0.04591924697160721
Linear Weight Rank: 180
Intra Cos: 0.06410952657461166
Inter Cos: 0.005112830083817244
Norm Quadratic Average: 0.02691909298300743
Nearest Class Center Accuracy: 0.8055

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.045779623091220856
Linear Weight Rank: 180
Intra Cos: 0.0480845645070076
Inter Cos: 0.011252458207309246
Norm Quadratic Average: 5.97126163484063e-05
Nearest Class Center Accuracy: 0.6885

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04570784792304039
Linear Weight Rank: 179
Intra Cos: 0.05539168044924736
Inter Cos: 0.01452599372714758
Norm Quadratic Average: 1.3892191930153786e-07
Nearest Class Center Accuracy: 0.6035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.0458403117954731
Linear Weight Rank: 180
Intra Cos: 0.5430019497871399
Inter Cos: 0.5329324007034302
Norm Quadratic Average: 4.712951695573508e-10
Nearest Class Center Accuracy: 0.473

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006735535804182291
Linear Weight Rank: 4
Intra Cos: 0.9981129169464111
Inter Cos: 0.9985721111297607
Norm Quadratic Average: 3.4187805364460644e-10
Nearest Class Center Accuracy: 0.24

Output Layer:
Intra Cos: 1.0000001192092896
Inter Cos: 1.0000003576278687
Norm Quadratic Average: 2.7627493182080798e-08
Nearest Class Center Accuracy: 0.257

