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_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6225317120552063
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: 0.6198803782463074
Linear Weight Rank: 180
Intra Cos: 0.06246760115027428
Inter Cos: 0.001568078761920333
Norm Quadratic Average: 0.36405831575393677
Nearest Class Center Accuracy: 0.799

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6179962158203125
Linear Weight Rank: 180
Intra Cos: 0.04663088917732239
Inter Cos: 0.009418700821697712
Norm Quadratic Average: 0.010523910634219646
Nearest Class Center Accuracy: 0.693125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6170340776443481
Linear Weight Rank: 179
Intra Cos: 0.05588970705866814
Inter Cos: 0.012606246396899223
Norm Quadratic Average: 0.00033029066980816424
Nearest Class Center Accuracy: 0.616

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6188254356384277
Linear Weight Rank: 180
Intra Cos: 0.07089495658874512
Inter Cos: 0.023560114204883575
Norm Quadratic Average: 1.0413403288112022e-05
Nearest Class Center Accuracy: 0.60475

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08929906040430069
Linear Weight Rank: 4
Intra Cos: 0.08854275941848755
Inter Cos: 0.045873336493968964
Norm Quadratic Average: 3.1918128229335707e-07
Nearest Class Center Accuracy: 0.570125

Output Layer:
Intra Cos: 0.9937469363212585
Inter Cos: 0.9944613575935364
Norm Quadratic Average: 3.5811989818057555e-08
Nearest Class Center Accuracy: 0.250375

Test Set:
Average Loss: 1.386979820251465
Accuracy: 0.257
NC1 Within Class Collapse: 36.98678970336914
NC2 Equinorm: Features: 0.05662022531032562, Weights: 0.03559049591422081
NC2 Equiangle: Features: 0.521182139714559, Weights: 0.2736337184906006
NC3 Self-Duality: 1.6586055755615234
NC4 NCC Mismatch: 0.765

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.6225317120552063
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: 0.6198803782463074
Linear Weight Rank: 180
Intra Cos: 0.0642193853855133
Inter Cos: 0.005152406170964241
Norm Quadratic Average: 0.3634061813354492
Nearest Class Center Accuracy: 0.806

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6179962158203125
Linear Weight Rank: 180
Intra Cos: 0.04839039221405983
Inter Cos: 0.012503907084465027
Norm Quadratic Average: 0.010503220371901989
Nearest Class Center Accuracy: 0.696

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6170340776443481
Linear Weight Rank: 179
Intra Cos: 0.05581966042518616
Inter Cos: 0.015329666435718536
Norm Quadratic Average: 0.00033015190274454653
Nearest Class Center Accuracy: 0.6175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6188254356384277
Linear Weight Rank: 180
Intra Cos: 0.0714426338672638
Inter Cos: 0.027956334874033928
Norm Quadratic Average: 1.0453686627442949e-05
Nearest Class Center Accuracy: 0.61

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.08929906040430069
Linear Weight Rank: 4
Intra Cos: 0.08945292979478836
Inter Cos: 0.05407533049583435
Norm Quadratic Average: 3.20026458666689e-07
Nearest Class Center Accuracy: 0.5985

Output Layer:
Intra Cos: 0.9937722682952881
Inter Cos: 0.9949194192886353
Norm Quadratic Average: 3.266008974378565e-08
Nearest Class Center Accuracy: 0.251

