Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_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: 4.9233717918396
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: 4.941863059997559
Linear Weight Rank: 180
Intra Cos: 0.07859829813241959
Inter Cos: 0.0030074291862547398
Norm Quadratic Average: 8.38118839263916
Nearest Class Center Accuracy: 0.87275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.901675701141357
Linear Weight Rank: 179
Intra Cos: 0.1287810057401657
Inter Cos: 0.001804982777684927
Norm Quadratic Average: 8.379698753356934
Nearest Class Center Accuracy: 0.939125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.87999963760376
Linear Weight Rank: 180
Intra Cos: 0.18763205409049988
Inter Cos: 0.008599158376455307
Norm Quadratic Average: 8.368568420410156
Nearest Class Center Accuracy: 0.978625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.88753604888916
Linear Weight Rank: 180
Intra Cos: 0.28884828090667725
Inter Cos: 0.0026776688173413277
Norm Quadratic Average: 8.36227798461914
Nearest Class Center Accuracy: 0.99975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9878489971160889
Linear Weight Rank: 4
Intra Cos: 0.5765187740325928
Inter Cos: -0.08519309759140015
Norm Quadratic Average: 8.60109806060791
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.959482729434967
Inter Cos: -0.13132835924625397
Norm Quadratic Average: 7.393410682678223
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.23436626386642456
Accuracy: 0.9085
NC1 Within Class Collapse: 1.0480173826217651
NC2 Equinorm: Features: 0.031552571803331375, Weights: 0.015037206001579762
NC2 Equiangle: Features: 0.25354822476704914, Weights: 0.07580366730690002
NC3 Self-Duality: 0.16331972181797028
NC4 NCC Mismatch: 0.016000000000000014

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.9233717918396
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: 4.941863059997559
Linear Weight Rank: 180
Intra Cos: 0.0806608498096466
Inter Cos: 0.004051017574965954
Norm Quadratic Average: 8.376693725585938
Nearest Class Center Accuracy: 0.882

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.901675701141357
Linear Weight Rank: 179
Intra Cos: 0.12500864267349243
Inter Cos: 0.004792443942278624
Norm Quadratic Average: 8.385210990905762
Nearest Class Center Accuracy: 0.9135

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.87999963760376
Linear Weight Rank: 180
Intra Cos: 0.1737709790468216
Inter Cos: 0.014533013105392456
Norm Quadratic Average: 8.388083457946777
Nearest Class Center Accuracy: 0.926

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 4.88753604888916
Linear Weight Rank: 180
Intra Cos: 0.240213081240654
Inter Cos: 0.011720826849341393
Norm Quadratic Average: 8.347577095031738
Nearest Class Center Accuracy: 0.9155

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9878489971160889
Linear Weight Rank: 4
Intra Cos: 0.4177000820636749
Inter Cos: -0.03792019933462143
Norm Quadratic Average: 8.330159187316895
Nearest Class Center Accuracy: 0.9075

Output Layer:
Intra Cos: 0.7501916885375977
Inter Cos: -0.03885534778237343
Norm Quadratic Average: 6.960104465484619
Nearest Class Center Accuracy: 0.9105

