Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.999504089355469
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.970534801483154
Linear Weight Rank: 180
Intra Cos: 0.07103107124567032
Inter Cos: 0.002306173089891672
Norm Quadratic Average: 13.545415878295898
Nearest Class Center Accuracy: 0.863375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.918646335601807
Linear Weight Rank: 179
Intra Cos: 0.10699918121099472
Inter Cos: 0.0018026567995548248
Norm Quadratic Average: 13.492122650146484
Nearest Class Center Accuracy: 0.919

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.923616409301758
Linear Weight Rank: 180
Intra Cos: 0.12353895604610443
Inter Cos: 0.00013264769222587347
Norm Quadratic Average: 13.462371826171875
Nearest Class Center Accuracy: 0.92825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883156776428223
Linear Weight Rank: 180
Intra Cos: 0.14915591478347778
Inter Cos: -0.0014759787591174245
Norm Quadratic Average: 13.431984901428223
Nearest Class Center Accuracy: 0.9735

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896450042724609
Linear Weight Rank: 180
Intra Cos: 0.1903904229402542
Inter Cos: -0.0041707465425133705
Norm Quadratic Average: 13.43535327911377
Nearest Class Center Accuracy: 0.989375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870686054229736
Linear Weight Rank: 179
Intra Cos: 0.23185566067695618
Inter Cos: -0.019876543432474136
Norm Quadratic Average: 13.445472717285156
Nearest Class Center Accuracy: 0.99825

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.866888999938965
Linear Weight Rank: 180
Intra Cos: 0.3244880139827728
Inter Cos: -0.03138665482401848
Norm Quadratic Average: 13.488210678100586
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.053504705429077
Linear Weight Rank: 4
Intra Cos: 0.4813235402107239
Inter Cos: -0.0969361886382103
Norm Quadratic Average: 13.62975025177002
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9666473269462585
Inter Cos: -0.12138619273900986
Norm Quadratic Average: 10.752507209777832
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3653950996398926
Accuracy: 0.8925
NC1 Within Class Collapse: 1.147584080696106
NC2 Equinorm: Features: 0.009555289521813393, Weights: 0.052680790424346924
NC2 Equiangle: Features: 0.2319177786509196, Weights: 0.12587660551071167
NC3 Self-Duality: 0.22559988498687744
NC4 NCC Mismatch: 0.014499999999999957

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.999504089355469
Linear Weight Rank: 16
Intra Cos: 0.0803302675485611
Inter Cos: 0.0033128969371318817
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: 7.970534801483154
Linear Weight Rank: 180
Intra Cos: 0.07210247218608856
Inter Cos: 0.0037175954785197973
Norm Quadratic Average: 13.521339416503906
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.918646335601807
Linear Weight Rank: 179
Intra Cos: 0.10283003747463226
Inter Cos: 0.0029474464245140553
Norm Quadratic Average: 13.489039421081543
Nearest Class Center Accuracy: 0.9035

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.923616409301758
Linear Weight Rank: 180
Intra Cos: 0.11632144451141357
Inter Cos: 0.006823287345468998
Norm Quadratic Average: 13.459177017211914
Nearest Class Center Accuracy: 0.8915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883156776428223
Linear Weight Rank: 180
Intra Cos: 0.1317015141248703
Inter Cos: -0.0013853111304342747
Norm Quadratic Average: 13.426606178283691
Nearest Class Center Accuracy: 0.897

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896450042724609
Linear Weight Rank: 180
Intra Cos: 0.15553510189056396
Inter Cos: 0.0027296736370772123
Norm Quadratic Average: 13.445429801940918
Nearest Class Center Accuracy: 0.8905

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870686054229736
Linear Weight Rank: 179
Intra Cos: 0.17853839695453644
Inter Cos: -0.0022394873667508364
Norm Quadratic Average: 13.421175956726074
Nearest Class Center Accuracy: 0.889

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.866888999938965
Linear Weight Rank: 180
Intra Cos: 0.23573654890060425
Inter Cos: -0.011152952909469604
Norm Quadratic Average: 13.268783569335938
Nearest Class Center Accuracy: 0.8995

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.053504705429077
Linear Weight Rank: 4
Intra Cos: 0.33549609780311584
Inter Cos: -0.03564911708235741
Norm Quadratic Average: 13.07128620147705
Nearest Class Center Accuracy: 0.895

Output Layer:
Intra Cos: 0.7289261817932129
Inter Cos: -0.027169466018676758
Norm Quadratic Average: 9.894410133361816
Nearest Class Center Accuracy: 0.896

