Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.010690689086914
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 2.988666534423828
Linear Weight Rank: 179
Intra Cos: 0.06038733944296837
Inter Cos: 0.009400327689945698
Norm Quadratic Average: 1.8219088315963745
Nearest Class Center Accuracy: 0.82825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.98923921585083
Linear Weight Rank: 179
Intra Cos: 0.05018860846757889
Inter Cos: 0.046807922422885895
Norm Quadratic Average: 0.4590051472187042
Nearest Class Center Accuracy: 0.72175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.0117058753967285
Linear Weight Rank: 179
Intra Cos: 0.034666698426008224
Inter Cos: 0.08169344812631607
Norm Quadratic Average: 0.25515666604042053
Nearest Class Center Accuracy: 0.658625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.005664587020874
Linear Weight Rank: 179
Intra Cos: 0.020451944321393967
Inter Cos: 0.07340552657842636
Norm Quadratic Average: 0.176560178399086
Nearest Class Center Accuracy: 0.59525

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8674566149711609
Linear Weight Rank: 4
Intra Cos: 0.009492067620158195
Inter Cos: 0.06570962071418762
Norm Quadratic Average: 0.1328604370355606
Nearest Class Center Accuracy: 0.5915

Output Layer:
Intra Cos: 0.0005442671244964004
Inter Cos: 0.06451264023780823
Norm Quadratic Average: 0.10084307193756104
Nearest Class Center Accuracy: 0.590625

Test Set:
Average Loss: 1.3475927772521972
Accuracy: 0.498
NC1 Within Class Collapse: 24.51806640625
NC2 Equinorm: Features: 1.1211248636245728, Weights: 0.49780967831611633
NC2 Equiangle: Features: 0.5415261586507162, Weights: 0.3386368751525879
NC3 Self-Duality: 0.2449546754360199
NC4 NCC Mismatch: 0.36750000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.010690689086914
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 2.988666534423828
Linear Weight Rank: 179
Intra Cos: 0.05814749747514725
Inter Cos: 0.0020738837774842978
Norm Quadratic Average: 1.817751169204712
Nearest Class Center Accuracy: 0.834

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.98923921585083
Linear Weight Rank: 179
Intra Cos: 0.043912485241889954
Inter Cos: 0.014381268993020058
Norm Quadratic Average: 0.4568285048007965
Nearest Class Center Accuracy: 0.716

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.0117058753967285
Linear Weight Rank: 179
Intra Cos: 0.02386377565562725
Inter Cos: 0.04781442880630493
Norm Quadratic Average: 0.2535715699195862
Nearest Class Center Accuracy: 0.67

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.005664587020874
Linear Weight Rank: 179
Intra Cos: 0.012225175276398659
Inter Cos: 0.04383039474487305
Norm Quadratic Average: 0.1758713573217392
Nearest Class Center Accuracy: 0.599

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8674566149711609
Linear Weight Rank: 4
Intra Cos: 0.0034714892972260714
Inter Cos: 0.041463177651166916
Norm Quadratic Average: 0.13254766166210175
Nearest Class Center Accuracy: 0.5845

Output Layer:
Intra Cos: -0.0019303016597405076
Inter Cos: 0.04377267137169838
Norm Quadratic Average: 0.10062262415885925
Nearest Class Center Accuracy: 0.583

