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_314159_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.441061973571777
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 6.522309303283691
Linear Weight Rank: 179
Intra Cos: 0.07720683515071869
Inter Cos: 0.005191450007259846
Norm Quadratic Average: 11.181281089782715
Nearest Class Center Accuracy: 0.868125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.505186557769775
Linear Weight Rank: 179
Intra Cos: 0.10566678643226624
Inter Cos: 0.0069908988662064075
Norm Quadratic Average: 11.131792068481445
Nearest Class Center Accuracy: 0.914375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.440521240234375
Linear Weight Rank: 179
Intra Cos: 0.12998320162296295
Inter Cos: 0.003269634675234556
Norm Quadratic Average: 11.097367286682129
Nearest Class Center Accuracy: 0.94875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.433593273162842
Linear Weight Rank: 179
Intra Cos: 0.1538105309009552
Inter Cos: -0.0026557722594588995
Norm Quadratic Average: 11.020277976989746
Nearest Class Center Accuracy: 0.978

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441124439239502
Linear Weight Rank: 179
Intra Cos: 0.1961575448513031
Inter Cos: -0.0007323790341615677
Norm Quadratic Average: 11.014991760253906
Nearest Class Center Accuracy: 0.99425

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.419722557067871
Linear Weight Rank: 180
Intra Cos: 0.2723706066608429
Inter Cos: -0.006523772142827511
Norm Quadratic Average: 10.979337692260742
Nearest Class Center Accuracy: 0.999875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.412363529205322
Linear Weight Rank: 179
Intra Cos: 0.39319682121276855
Inter Cos: -0.05963551625609398
Norm Quadratic Average: 11.005517959594727
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8420418500900269
Linear Weight Rank: 4
Intra Cos: 0.5874567031860352
Inter Cos: -0.1276869922876358
Norm Quadratic Average: 11.166277885437012
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.968457818031311
Inter Cos: -0.18430502712726593
Norm Quadratic Average: 8.572299003601074
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.35970369243621825
Accuracy: 0.8875
NC1 Within Class Collapse: 1.1293089389801025
NC2 Equinorm: Features: 0.016725337132811546, Weights: 0.03605583682656288
NC2 Equiangle: Features: 0.19898690780003866, Weights: 0.11295352379480998
NC3 Self-Duality: 0.20478306710720062
NC4 NCC Mismatch: 0.010499999999999954

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.441061973571777
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: 6.522309303283691
Linear Weight Rank: 179
Intra Cos: 0.07693803310394287
Inter Cos: 0.00635613314807415
Norm Quadratic Average: 11.165340423583984
Nearest Class Center Accuracy: 0.877

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.505186557769775
Linear Weight Rank: 179
Intra Cos: 0.10098717361688614
Inter Cos: 0.0008068215101957321
Norm Quadratic Average: 11.154664993286133
Nearest Class Center Accuracy: 0.9035

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.440521240234375
Linear Weight Rank: 179
Intra Cos: 0.12092239409685135
Inter Cos: 0.0037747796159237623
Norm Quadratic Average: 11.110583305358887
Nearest Class Center Accuracy: 0.9

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.433593273162842
Linear Weight Rank: 179
Intra Cos: 0.1418399214744568
Inter Cos: -0.003886510618031025
Norm Quadratic Average: 11.037247657775879
Nearest Class Center Accuracy: 0.9015

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.441124439239502
Linear Weight Rank: 179
Intra Cos: 0.16589514911174774
Inter Cos: -0.0025883191265165806
Norm Quadratic Average: 10.988208770751953
Nearest Class Center Accuracy: 0.9

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.419722557067871
Linear Weight Rank: 180
Intra Cos: 0.20836539566516876
Inter Cos: -0.004464470781385899
Norm Quadratic Average: 10.866843223571777
Nearest Class Center Accuracy: 0.8995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.412363529205322
Linear Weight Rank: 179
Intra Cos: 0.2756422460079193
Inter Cos: -0.019707467406988144
Norm Quadratic Average: 10.744125366210938
Nearest Class Center Accuracy: 0.892

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8420418500900269
Linear Weight Rank: 4
Intra Cos: 0.3894598186016083
Inter Cos: -0.06478364765644073
Norm Quadratic Average: 10.614211082458496
Nearest Class Center Accuracy: 0.887

Output Layer:
Intra Cos: 0.6918125152587891
Inter Cos: -0.06077760457992554
Norm Quadratic Average: 7.843432426452637
Nearest Class Center Accuracy: 0.8865

