Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161739349365234
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: 8.097003936767578
Linear Weight Rank: 180
Intra Cos: 0.07542189210653305
Inter Cos: 0.0032968020532280207
Norm Quadratic Average: 13.927327156066895
Nearest Class Center Accuracy: 0.869875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055543899536133
Linear Weight Rank: 180
Intra Cos: 0.11369868367910385
Inter Cos: 0.0035738972947001457
Norm Quadratic Average: 13.917064666748047
Nearest Class Center Accuracy: 0.92025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06751537322998
Linear Weight Rank: 180
Intra Cos: 0.1401841640472412
Inter Cos: -0.0007632914930582047
Norm Quadratic Average: 13.918078422546387
Nearest Class Center Accuracy: 0.958

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032660484313965
Linear Weight Rank: 180
Intra Cos: 0.20064179599285126
Inter Cos: -0.011135085485875607
Norm Quadratic Average: 13.855155944824219
Nearest Class Center Accuracy: 0.997125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4246115684509277
Linear Weight Rank: 4
Intra Cos: 0.36837413907051086
Inter Cos: -0.04512941092252731
Norm Quadratic Average: 13.969386100769043
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9196347594261169
Inter Cos: -0.07821431756019592
Norm Quadratic Average: 12.193790435791016
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.29146782398223875
Accuracy: 0.8945
NC1 Within Class Collapse: 1.3105396032333374
NC2 Equinorm: Features: 0.018185172230005264, Weights: 0.02970203571021557
NC2 Equiangle: Features: 0.2895718216896057, Weights: 0.11649296681086223
NC3 Self-Duality: 0.2133117914199829
NC4 NCC Mismatch: 0.01749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161739349365234
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: 8.097003936767578
Linear Weight Rank: 180
Intra Cos: 0.0763271376490593
Inter Cos: 0.0026573194190859795
Norm Quadratic Average: 13.901921272277832
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055543899536133
Linear Weight Rank: 180
Intra Cos: 0.11008819937705994
Inter Cos: -0.0008176018600352108
Norm Quadratic Average: 13.946175575256348
Nearest Class Center Accuracy: 0.905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06751537322998
Linear Weight Rank: 180
Intra Cos: 0.12774837017059326
Inter Cos: 0.004505084361881018
Norm Quadratic Average: 13.969822883605957
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.032660484313965
Linear Weight Rank: 180
Intra Cos: 0.1701105833053589
Inter Cos: 0.00034857168793678284
Norm Quadratic Average: 13.891973495483398
Nearest Class Center Accuracy: 0.91

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4246115684509277
Linear Weight Rank: 4
Intra Cos: 0.27745211124420166
Inter Cos: -0.027450529858469963
Norm Quadratic Average: 13.862886428833008
Nearest Class Center Accuracy: 0.9025

Output Layer:
Intra Cos: 0.7297555208206177
Inter Cos: -0.03762161731719971
Norm Quadratic Average: 11.84353256225586
Nearest Class Center Accuracy: 0.8995

