Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.078070640563965
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 7.081325054168701
Linear Weight Rank: 179
Intra Cos: 0.0671563446521759
Inter Cos: 0.005618365481495857
Norm Quadratic Average: 12.141768455505371
Nearest Class Center Accuracy: 0.86825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0432305335998535
Linear Weight Rank: 179
Intra Cos: 0.10695299506187439
Inter Cos: 0.0029608693439513445
Norm Quadratic Average: 12.14432144165039
Nearest Class Center Accuracy: 0.923

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.005411624908447
Linear Weight Rank: 179
Intra Cos: 0.13826213777065277
Inter Cos: -0.003109563607722521
Norm Quadratic Average: 12.107769012451172
Nearest Class Center Accuracy: 0.963625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012973308563232
Linear Weight Rank: 179
Intra Cos: 0.20439480245113373
Inter Cos: -0.013136802241206169
Norm Quadratic Average: 12.055959701538086
Nearest Class Center Accuracy: 0.998625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2885701656341553
Linear Weight Rank: 4
Intra Cos: 0.41858917474746704
Inter Cos: -0.0570102259516716
Norm Quadratic Average: 12.173853874206543
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9308184385299683
Inter Cos: -0.09873183816671371
Norm Quadratic Average: 10.550660133361816
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2618759317398071
Accuracy: 0.9
NC1 Within Class Collapse: 1.2849441766738892
NC2 Equinorm: Features: 0.019808948040008545, Weights: 0.01936456188559532
NC2 Equiangle: Features: 0.28074512879053753, Weights: 0.11160639921824138
NC3 Self-Duality: 0.1932271420955658
NC4 NCC Mismatch: 0.026499999999999968

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.078070640563965
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 7.081325054168701
Linear Weight Rank: 179
Intra Cos: 0.0654902309179306
Inter Cos: 0.001676691579632461
Norm Quadratic Average: 12.126519203186035
Nearest Class Center Accuracy: 0.8775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0432305335998535
Linear Weight Rank: 179
Intra Cos: 0.10154974460601807
Inter Cos: 0.00330369477160275
Norm Quadratic Average: 12.127435684204102
Nearest Class Center Accuracy: 0.9

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.005411624908447
Linear Weight Rank: 179
Intra Cos: 0.12281274795532227
Inter Cos: 0.004619929939508438
Norm Quadratic Average: 12.131458282470703
Nearest Class Center Accuracy: 0.8925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.012973308563232
Linear Weight Rank: 179
Intra Cos: 0.16789716482162476
Inter Cos: -0.00651054410263896
Norm Quadratic Average: 12.06386661529541
Nearest Class Center Accuracy: 0.9

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2885701656341553
Linear Weight Rank: 4
Intra Cos: 0.3191564679145813
Inter Cos: -0.025772806257009506
Norm Quadratic Average: 11.977019309997559
Nearest Class Center Accuracy: 0.9095

Output Layer:
Intra Cos: 0.7459141612052917
Inter Cos: -0.03901781886816025
Norm Quadratic Average: 10.13558292388916
Nearest Class Center Accuracy: 0.9075

