Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.49665641784668
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 7.462131977081299
Linear Weight Rank: 179
Intra Cos: 0.12904250621795654
Inter Cos: 0.009168113581836224
Norm Quadratic Average: 4.558164119720459
Nearest Class Center Accuracy: 0.934125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.451862812042236
Linear Weight Rank: 179
Intra Cos: 0.5166504979133606
Inter Cos: 0.04493265971541405
Norm Quadratic Average: 3.628889799118042
Nearest Class Center Accuracy: 0.959875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.479673385620117
Linear Weight Rank: 180
Intra Cos: 0.6754111647605896
Inter Cos: 0.07850784063339233
Norm Quadratic Average: 5.244766712188721
Nearest Class Center Accuracy: 0.95075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.468061923980713
Linear Weight Rank: 179
Intra Cos: 0.6881044507026672
Inter Cos: 0.09364856034517288
Norm Quadratic Average: 7.950052738189697
Nearest Class Center Accuracy: 0.9475

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8727619647979736
Linear Weight Rank: 4
Intra Cos: 0.6632975935935974
Inter Cos: 0.09598782658576965
Norm Quadratic Average: 11.576236724853516
Nearest Class Center Accuracy: 0.94275

Output Layer:
Intra Cos: 0.7764928340911865
Inter Cos: 0.08406604826450348
Norm Quadratic Average: 20.832763671875
Nearest Class Center Accuracy: 0.95725

Test Set:
Average Loss: 0.07109017872810364
Accuracy: 0.9655
NC1 Within Class Collapse: 1.5717034339904785
NC2 Equinorm: Features: 0.03945423290133476, Weights: 0.025591755285859108
NC2 Equiangle: Features: 0.43334730466206867, Weights: 0.38429470856984455
NC3 Self-Duality: 0.11487621814012527
NC4 NCC Mismatch: 0.0645

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.49665641784668
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 7.462131977081299
Linear Weight Rank: 179
Intra Cos: 0.13195808231830597
Inter Cos: 0.0036026330199092627
Norm Quadratic Average: 4.558386325836182
Nearest Class Center Accuracy: 0.9285

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.451862812042236
Linear Weight Rank: 179
Intra Cos: 0.509891927242279
Inter Cos: 0.037135399878025055
Norm Quadratic Average: 3.6586194038391113
Nearest Class Center Accuracy: 0.9525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.479673385620117
Linear Weight Rank: 180
Intra Cos: 0.6609725952148438
Inter Cos: 0.07483387738466263
Norm Quadratic Average: 5.293701171875
Nearest Class Center Accuracy: 0.94

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.468061923980713
Linear Weight Rank: 179
Intra Cos: 0.6724882125854492
Inter Cos: 0.07758553326129913
Norm Quadratic Average: 8.018960952758789
Nearest Class Center Accuracy: 0.935

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8727619647979736
Linear Weight Rank: 4
Intra Cos: 0.6480198502540588
Inter Cos: 0.0797126516699791
Norm Quadratic Average: 11.673295021057129
Nearest Class Center Accuracy: 0.9345

Output Layer:
Intra Cos: 0.7625499963760376
Inter Cos: 0.08937408030033112
Norm Quadratic Average: 20.969873428344727
Nearest Class Center Accuracy: 0.945

