Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.52382755279541
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 8.471779823303223
Linear Weight Rank: 179
Intra Cos: 0.11883196979761124
Inter Cos: 0.00833249744027853
Norm Quadratic Average: 5.154192924499512
Nearest Class Center Accuracy: 0.9245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.457542419433594
Linear Weight Rank: 179
Intra Cos: 0.47809064388275146
Inter Cos: 0.03769611939787865
Norm Quadratic Average: 4.211322784423828
Nearest Class Center Accuracy: 0.961125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.487432479858398
Linear Weight Rank: 180
Intra Cos: 0.6628018021583557
Inter Cos: 0.07112577557563782
Norm Quadratic Average: 6.224843502044678
Nearest Class Center Accuracy: 0.95075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.470731735229492
Linear Weight Rank: 179
Intra Cos: 0.6869238018989563
Inter Cos: 0.08719377219676971
Norm Quadratic Average: 9.803956031799316
Nearest Class Center Accuracy: 0.948875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9922103881835938
Linear Weight Rank: 4
Intra Cos: 0.6624656319618225
Inter Cos: 0.09198026359081268
Norm Quadratic Average: 14.856773376464844
Nearest Class Center Accuracy: 0.943875

Output Layer:
Intra Cos: 0.7747905850410461
Inter Cos: 0.07950526475906372
Norm Quadratic Average: 27.530317306518555
Nearest Class Center Accuracy: 0.9575

Test Set:
Average Loss: 0.07218364977836608
Accuracy: 0.9675
NC1 Within Class Collapse: 1.5970443487167358
NC2 Equinorm: Features: 0.039179477840662, Weights: 0.026119906455278397
NC2 Equiangle: Features: 0.43242383003234863, Weights: 0.37451398372650146
NC3 Self-Duality: 0.13304270803928375
NC4 NCC Mismatch: 0.06399999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.52382755279541
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.471779823303223
Linear Weight Rank: 179
Intra Cos: 0.12166784703731537
Inter Cos: 0.0030417311936616898
Norm Quadratic Average: 5.153146266937256
Nearest Class Center Accuracy: 0.9205

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.457542419433594
Linear Weight Rank: 179
Intra Cos: 0.4730234742164612
Inter Cos: 0.034428346902132034
Norm Quadratic Average: 4.243076801300049
Nearest Class Center Accuracy: 0.9505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.487432479858398
Linear Weight Rank: 180
Intra Cos: 0.6482513546943665
Inter Cos: 0.07405096292495728
Norm Quadratic Average: 6.282808303833008
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.470731735229492
Linear Weight Rank: 179
Intra Cos: 0.671008825302124
Inter Cos: 0.07652997970581055
Norm Quadratic Average: 9.889423370361328
Nearest Class Center Accuracy: 0.933

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9922103881835938
Linear Weight Rank: 4
Intra Cos: 0.6466385722160339
Inter Cos: 0.0763879343867302
Norm Quadratic Average: 14.981765747070312
Nearest Class Center Accuracy: 0.934

Output Layer:
Intra Cos: 0.7608343362808228
Inter Cos: 0.09331424534320831
Norm Quadratic Average: 27.714580535888672
Nearest Class Center Accuracy: 0.9455

