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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.297741889953613
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: 8.28097915649414
Linear Weight Rank: 179
Intra Cos: 0.12056273221969604
Inter Cos: 0.007634484209120274
Norm Quadratic Average: 5.104862213134766
Nearest Class Center Accuracy: 0.92625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.278279304504395
Linear Weight Rank: 179
Intra Cos: 0.45749250054359436
Inter Cos: 0.03174189478158951
Norm Quadratic Average: 4.10056209564209
Nearest Class Center Accuracy: 0.946

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.3338041305542
Linear Weight Rank: 179
Intra Cos: 0.6385084390640259
Inter Cos: 0.06421064585447311
Norm Quadratic Average: 5.9010162353515625
Nearest Class Center Accuracy: 0.93875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31378173828125
Linear Weight Rank: 179
Intra Cos: 0.6797769665718079
Inter Cos: 0.08573055267333984
Norm Quadratic Average: 8.988092422485352
Nearest Class Center Accuracy: 0.94375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9881389141082764
Linear Weight Rank: 4
Intra Cos: 0.6828852295875549
Inter Cos: 0.0846903920173645
Norm Quadratic Average: 13.528046607971191
Nearest Class Center Accuracy: 0.951

Output Layer:
Intra Cos: 0.7702234983444214
Inter Cos: 0.07517730444669724
Norm Quadratic Average: 25.04613494873047
Nearest Class Center Accuracy: 0.9615

Test Set:
Average Loss: 0.060103461265563964
Accuracy: 0.9745
NC1 Within Class Collapse: 1.5651862621307373
NC2 Equinorm: Features: 0.04289684444665909, Weights: 0.06543445587158203
NC2 Equiangle: Features: 0.4299672444661458, Weights: 0.3735942443211873
NC3 Self-Duality: 0.14116960763931274
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.297741889953613
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: 8.28097915649414
Linear Weight Rank: 179
Intra Cos: 0.11851874738931656
Inter Cos: 0.005729891825467348
Norm Quadratic Average: 5.0995774269104
Nearest Class Center Accuracy: 0.9255

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.278279304504395
Linear Weight Rank: 179
Intra Cos: 0.4461615979671478
Inter Cos: 0.02675601840019226
Norm Quadratic Average: 4.117081642150879
Nearest Class Center Accuracy: 0.939

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.3338041305542
Linear Weight Rank: 179
Intra Cos: 0.6165013909339905
Inter Cos: 0.061453066766262054
Norm Quadratic Average: 5.930676460266113
Nearest Class Center Accuracy: 0.929

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31378173828125
Linear Weight Rank: 179
Intra Cos: 0.6549468636512756
Inter Cos: 0.08225385844707489
Norm Quadratic Average: 9.036237716674805
Nearest Class Center Accuracy: 0.93

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9881389141082764
Linear Weight Rank: 4
Intra Cos: 0.6555797457695007
Inter Cos: 0.07965628802776337
Norm Quadratic Average: 13.580680847167969
Nearest Class Center Accuracy: 0.938

Output Layer:
Intra Cos: 0.7341668605804443
Inter Cos: 0.07566116750240326
Norm Quadratic Average: 25.086509704589844
Nearest Class Center Accuracy: 0.9485

