Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.959592819213867
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
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: 7.9739789962768555
Linear Weight Rank: 179
Intra Cos: 0.06346704065799713
Inter Cos: 0.007469536736607552
Norm Quadratic Average: 4.742455959320068
Nearest Class Center Accuracy: 0.822125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9929585456848145
Linear Weight Rank: 179
Intra Cos: 0.04702400043606758
Inter Cos: 0.004535718355327845
Norm Quadratic Average: 1.631296992301941
Nearest Class Center Accuracy: 0.742875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9356207847595215
Linear Weight Rank: 179
Intra Cos: 0.03623643144965172
Inter Cos: 0.0025419641751796007
Norm Quadratic Average: 0.5847756862640381
Nearest Class Center Accuracy: 0.64725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944812774658203
Linear Weight Rank: 180
Intra Cos: 0.03260781243443489
Inter Cos: 0.006685740780085325
Norm Quadratic Average: 0.21881748735904694
Nearest Class Center Accuracy: 0.5995

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965932846069336
Linear Weight Rank: 179
Intra Cos: 0.025315480306744576
Inter Cos: 0.008584072813391685
Norm Quadratic Average: 0.08486009389162064
Nearest Class Center Accuracy: 0.547625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945328235626221
Linear Weight Rank: 180
Intra Cos: 0.02471478097140789
Inter Cos: 0.006541124079376459
Norm Quadratic Average: 0.03012574464082718
Nearest Class Center Accuracy: 0.536625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.939889430999756
Linear Weight Rank: 179
Intra Cos: 0.02167041413486004
Inter Cos: 0.006607627496123314
Norm Quadratic Average: 0.012309004552662373
Nearest Class Center Accuracy: 0.504

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956563472747803
Linear Weight Rank: 179
Intra Cos: 0.027575364336371422
Inter Cos: 0.011723977513611317
Norm Quadratic Average: 0.0049883234314620495
Nearest Class Center Accuracy: 0.490625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.962216377258301
Linear Weight Rank: 180
Intra Cos: 0.02827213518321514
Inter Cos: 0.008865020237863064
Norm Quadratic Average: 0.0018490994116291404
Nearest Class Center Accuracy: 0.481875

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.924039363861084
Linear Weight Rank: 180
Intra Cos: 0.023524358868598938
Inter Cos: 0.006017093081027269
Norm Quadratic Average: 0.0007298364071175456
Nearest Class Center Accuracy: 0.45425

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1206951141357422
Linear Weight Rank: 4
Intra Cos: 0.021685946732759476
Inter Cos: 0.004117318894714117
Norm Quadratic Average: 0.00027139566373080015
Nearest Class Center Accuracy: 0.456625

Output Layer:
Intra Cos: 0.006143722217530012
Inter Cos: 0.00936742965131998
Norm Quadratic Average: 1.932601662701927e-05
Nearest Class Center Accuracy: 0.328625

Test Set:
Average Loss: 1.387501937866211
Accuracy: 0.257
NC1 Within Class Collapse: 76.90345764160156
NC2 Equinorm: Features: 0.0978204607963562, Weights: 0.02211899124085903
NC2 Equiangle: Features: 0.38139394919077557, Weights: 0.2856266498565674
NC3 Self-Duality: 1.9955469369888306
NC4 NCC Mismatch: 0.722

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.959592819213867
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: 7.9739789962768555
Linear Weight Rank: 179
Intra Cos: 0.06326115876436234
Inter Cos: 0.00923234038054943
Norm Quadratic Average: 4.736027717590332
Nearest Class Center Accuracy: 0.8235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9929585456848145
Linear Weight Rank: 179
Intra Cos: 0.04611842334270477
Inter Cos: 0.005877775605767965
Norm Quadratic Average: 1.6314365863800049
Nearest Class Center Accuracy: 0.752

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9356207847595215
Linear Weight Rank: 179
Intra Cos: 0.039503563195466995
Inter Cos: 0.0027191932313144207
Norm Quadratic Average: 0.584119975566864
Nearest Class Center Accuracy: 0.6585

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.944812774658203
Linear Weight Rank: 180
Intra Cos: 0.035646773874759674
Inter Cos: 0.007794298231601715
Norm Quadratic Average: 0.21919509768486023
Nearest Class Center Accuracy: 0.619

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965932846069336
Linear Weight Rank: 179
Intra Cos: 0.031623635441064835
Inter Cos: 0.011775298975408077
Norm Quadratic Average: 0.0849258303642273
Nearest Class Center Accuracy: 0.5545

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945328235626221
Linear Weight Rank: 180
Intra Cos: 0.02815813571214676
Inter Cos: 0.008999680168926716
Norm Quadratic Average: 0.030204756185412407
Nearest Class Center Accuracy: 0.5405

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.939889430999756
Linear Weight Rank: 179
Intra Cos: 0.0263729989528656
Inter Cos: 0.0066094608046114445
Norm Quadratic Average: 0.012343944981694221
Nearest Class Center Accuracy: 0.5185

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956563472747803
Linear Weight Rank: 179
Intra Cos: 0.027818597853183746
Inter Cos: 0.00979429017752409
Norm Quadratic Average: 0.005003443453460932
Nearest Class Center Accuracy: 0.5095

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.962216377258301
Linear Weight Rank: 180
Intra Cos: 0.028744544833898544
Inter Cos: 0.006665682885795832
Norm Quadratic Average: 0.0018549339147284627
Nearest Class Center Accuracy: 0.5075

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.924039363861084
Linear Weight Rank: 180
Intra Cos: 0.02262277714908123
Inter Cos: 0.008586130104959011
Norm Quadratic Average: 0.0007325697224587202
Nearest Class Center Accuracy: 0.479

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1206951141357422
Linear Weight Rank: 4
Intra Cos: 0.021426938474178314
Inter Cos: 0.008149249479174614
Norm Quadratic Average: 0.0002726537059061229
Nearest Class Center Accuracy: 0.469

Output Layer:
Intra Cos: 0.012080632150173187
Inter Cos: 0.016766903921961784
Norm Quadratic Average: 1.9208107914892025e-05
Nearest Class Center Accuracy: 0.3405

