Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.710634708404541
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.758857250213623
Linear Weight Rank: 179
Intra Cos: 0.08217800408601761
Inter Cos: 0.0070541417226195335
Norm Quadratic Average: 9.901018142700195
Nearest Class Center Accuracy: 0.8755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.749573230743408
Linear Weight Rank: 179
Intra Cos: 0.12039487808942795
Inter Cos: 0.009735087864100933
Norm Quadratic Average: 9.864570617675781
Nearest Class Center Accuracy: 0.916125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.694192886352539
Linear Weight Rank: 180
Intra Cos: 0.15282170474529266
Inter Cos: 0.00023111212067306042
Norm Quadratic Average: 9.830430030822754
Nearest Class Center Accuracy: 0.96425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.693435192108154
Linear Weight Rank: 179
Intra Cos: 0.24251529574394226
Inter Cos: -0.014272329397499561
Norm Quadratic Average: 9.806954383850098
Nearest Class Center Accuracy: 0.99875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0915133953094482
Linear Weight Rank: 4
Intra Cos: 0.4866909980773926
Inter Cos: -0.08035612851381302
Norm Quadratic Average: 9.978631973266602
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9473869204521179
Inter Cos: -0.12012895196676254
Norm Quadratic Average: 8.421778678894043
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25449190139770506
Accuracy: 0.8965
NC1 Within Class Collapse: 1.1284699440002441
NC2 Equinorm: Features: 0.01369619183242321, Weights: 0.025181928649544716
NC2 Equiangle: Features: 0.2604501446088155, Weights: 0.08085884153842926
NC3 Self-Duality: 0.18231524527072906
NC4 NCC Mismatch: 0.019499999999999962

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.710634708404541
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
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: 5.758857250213623
Linear Weight Rank: 179
Intra Cos: 0.0827132984995842
Inter Cos: 0.00791861116886139
Norm Quadratic Average: 9.891922950744629
Nearest Class Center Accuracy: 0.881

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.749573230743408
Linear Weight Rank: 179
Intra Cos: 0.1152767688035965
Inter Cos: 0.004097628872841597
Norm Quadratic Average: 9.894013404846191
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.694192886352539
Linear Weight Rank: 180
Intra Cos: 0.1405547708272934
Inter Cos: 0.007776529062539339
Norm Quadratic Average: 9.862014770507812
Nearest Class Center Accuracy: 0.9

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.693435192108154
Linear Weight Rank: 179
Intra Cos: 0.20599247515201569
Inter Cos: -0.011571671813726425
Norm Quadratic Average: 9.775164604187012
Nearest Class Center Accuracy: 0.917

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0915133953094482
Linear Weight Rank: 4
Intra Cos: 0.3642681837081909
Inter Cos: -0.04805140942335129
Norm Quadratic Average: 9.78262996673584
Nearest Class Center Accuracy: 0.902

Output Layer:
Intra Cos: 0.7535767555236816
Inter Cos: -0.052595581859350204
Norm Quadratic Average: 8.057153701782227
Nearest Class Center Accuracy: 0.899

