Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_338327_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.179783344268799
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.001758478581905365
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: 3.3217709064483643
Linear Weight Rank: 180
Intra Cos: 0.08565693348646164
Inter Cos: 0.004851292818784714
Norm Quadratic Average: 5.401463985443115
Nearest Class Center Accuracy: 0.8925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.245936632156372
Linear Weight Rank: 180
Intra Cos: 0.1341993361711502
Inter Cos: 0.004896178375929594
Norm Quadratic Average: 5.385950565338135
Nearest Class Center Accuracy: 0.952

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.196610450744629
Linear Weight Rank: 179
Intra Cos: 0.157985121011734
Inter Cos: 0.0045848130248487
Norm Quadratic Average: 5.370548248291016
Nearest Class Center Accuracy: 0.970625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1699955463409424
Linear Weight Rank: 180
Intra Cos: 0.1961703598499298
Inter Cos: 0.0036480589769780636
Norm Quadratic Average: 5.3521270751953125
Nearest Class Center Accuracy: 0.98875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1469826698303223
Linear Weight Rank: 180
Intra Cos: 0.2644568383693695
Inter Cos: -0.020554402843117714
Norm Quadratic Average: 5.333785057067871
Nearest Class Center Accuracy: 0.999125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1279547214508057
Linear Weight Rank: 180
Intra Cos: 0.4063224494457245
Inter Cos: -0.03630159795284271
Norm Quadratic Average: 5.312819957733154
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1312015056610107
Linear Weight Rank: 179
Intra Cos: 0.6268224120140076
Inter Cos: -0.11846175789833069
Norm Quadratic Average: 5.31333589553833
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6684907674789429
Linear Weight Rank: 4
Intra Cos: 0.886525571346283
Inter Cos: -0.2539796829223633
Norm Quadratic Average: 5.60326623916626
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9945216178894043
Inter Cos: -0.273373007774353
Norm Quadratic Average: 4.977777004241943
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.26911434173583987
Accuracy: 0.895
NC1 Within Class Collapse: 0.7558193206787109
NC2 Equinorm: Features: 0.00750066339969635, Weights: 0.03857751563191414
NC2 Equiangle: Features: 0.1399822235107422, Weights: 0.028826415538787842
NC3 Self-Duality: 0.08232405036687851
NC4 NCC Mismatch: 0.007000000000000006

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.179783344268799
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3217709064483643
Linear Weight Rank: 180
Intra Cos: 0.08787304908037186
Inter Cos: 0.004774917382746935
Norm Quadratic Average: 5.401865005493164
Nearest Class Center Accuracy: 0.882

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.245936632156372
Linear Weight Rank: 180
Intra Cos: 0.13018269836902618
Inter Cos: 0.0061594704166054726
Norm Quadratic Average: 5.383686542510986
Nearest Class Center Accuracy: 0.9245

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.196610450744629
Linear Weight Rank: 179
Intra Cos: 0.14545343816280365
Inter Cos: 0.009542285464704037
Norm Quadratic Average: 5.365852355957031
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1699955463409424
Linear Weight Rank: 180
Intra Cos: 0.17714127898216248
Inter Cos: 0.009277909062802792
Norm Quadratic Average: 5.336577415466309
Nearest Class Center Accuracy: 0.91

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1469826698303223
Linear Weight Rank: 180
Intra Cos: 0.22420965135097504
Inter Cos: -0.007443683221936226
Norm Quadratic Average: 5.271009922027588
Nearest Class Center Accuracy: 0.9075

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1279547214508057
Linear Weight Rank: 180
Intra Cos: 0.3324255645275116
Inter Cos: -0.012055089697241783
Norm Quadratic Average: 5.173725128173828
Nearest Class Center Accuracy: 0.909

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1312015056610107
Linear Weight Rank: 179
Intra Cos: 0.4822027385234833
Inter Cos: -0.05735078826546669
Norm Quadratic Average: 5.0664496421813965
Nearest Class Center Accuracy: 0.9065

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6684907674789429
Linear Weight Rank: 4
Intra Cos: 0.6733511090278625
Inter Cos: -0.13535094261169434
Norm Quadratic Average: 5.11548376083374
Nearest Class Center Accuracy: 0.896

Output Layer:
Intra Cos: 0.76451575756073
Inter Cos: -0.12845906615257263
Norm Quadratic Average: 4.46591329574585
Nearest Class Center Accuracy: 0.8965

