Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.12818717956543
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.001758486032485962
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: 7.187628269195557
Linear Weight Rank: 179
Intra Cos: 0.0743136927485466
Inter Cos: 0.002372038085013628
Norm Quadratic Average: 12.178118705749512
Nearest Class Center Accuracy: 0.86525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.111954689025879
Linear Weight Rank: 180
Intra Cos: 0.11727853119373322
Inter Cos: -0.0001839331816881895
Norm Quadratic Average: 12.153119087219238
Nearest Class Center Accuracy: 0.91125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.097904682159424
Linear Weight Rank: 180
Intra Cos: 0.13647858798503876
Inter Cos: 0.0011484597343951464
Norm Quadratic Average: 12.159914016723633
Nearest Class Center Accuracy: 0.9375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.048529624938965
Linear Weight Rank: 179
Intra Cos: 0.15636394917964935
Inter Cos: -0.004469909705221653
Norm Quadratic Average: 12.13306999206543
Nearest Class Center Accuracy: 0.96625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.047473430633545
Linear Weight Rank: 180
Intra Cos: 0.17578136920928955
Inter Cos: -0.0074239457026124
Norm Quadratic Average: 12.121883392333984
Nearest Class Center Accuracy: 0.98

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0141730308532715
Linear Weight Rank: 180
Intra Cos: 0.1989758163690567
Inter Cos: -0.011664804071187973
Norm Quadratic Average: 12.082000732421875
Nearest Class Center Accuracy: 0.9955

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.002339839935303
Linear Weight Rank: 180
Intra Cos: 0.2257654070854187
Inter Cos: -0.013658612966537476
Norm Quadratic Average: 12.044939994812012
Nearest Class Center Accuracy: 0.999

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.006503105163574
Linear Weight Rank: 179
Intra Cos: 0.28705504536628723
Inter Cos: -0.021621916443109512
Norm Quadratic Average: 12.030303001403809
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.013557434082031
Linear Weight Rank: 180
Intra Cos: 0.3766233026981354
Inter Cos: -0.05038665980100632
Norm Quadratic Average: 12.018322944641113
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.016451358795166
Linear Weight Rank: 179
Intra Cos: 0.46478596329689026
Inter Cos: -0.08091069757938385
Norm Quadratic Average: 12.010563850402832
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6966801881790161
Linear Weight Rank: 4
Intra Cos: 0.6090261340141296
Inter Cos: -0.1530197411775589
Norm Quadratic Average: 12.10085391998291
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.982711911201477
Inter Cos: -0.1709425449371338
Norm Quadratic Average: 8.549850463867188
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.33310669898986817
Accuracy: 0.8905
NC1 Within Class Collapse: 0.9600670337677002
NC2 Equinorm: Features: 0.0309770405292511, Weights: 0.0343213751912117
NC2 Equiangle: Features: 0.1890957752863566, Weights: 0.10347034533818562
NC3 Self-Duality: 0.23550015687942505
NC4 NCC Mismatch: 0.013499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.12818717956543
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 7.187628269195557
Linear Weight Rank: 179
Intra Cos: 0.07530905306339264
Inter Cos: 0.003542098682373762
Norm Quadratic Average: 12.162200927734375
Nearest Class Center Accuracy: 0.8645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.111954689025879
Linear Weight Rank: 180
Intra Cos: 0.11440792679786682
Inter Cos: 0.0016128544230014086
Norm Quadratic Average: 12.166899681091309
Nearest Class Center Accuracy: 0.9025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.097904682159424
Linear Weight Rank: 180
Intra Cos: 0.1305561065673828
Inter Cos: -5.116453394293785e-05
Norm Quadratic Average: 12.164690017700195
Nearest Class Center Accuracy: 0.9105

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.048529624938965
Linear Weight Rank: 179
Intra Cos: 0.14577342569828033
Inter Cos: -0.0006617845501750708
Norm Quadratic Average: 12.110262870788574
Nearest Class Center Accuracy: 0.9125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.047473430633545
Linear Weight Rank: 180
Intra Cos: 0.1569518893957138
Inter Cos: -0.0026000523939728737
Norm Quadratic Average: 12.055643081665039
Nearest Class Center Accuracy: 0.9035

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0141730308532715
Linear Weight Rank: 180
Intra Cos: 0.17176245152950287
Inter Cos: -0.008674181997776031
Norm Quadratic Average: 11.959909439086914
Nearest Class Center Accuracy: 0.9035

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.002339839935303
Linear Weight Rank: 180
Intra Cos: 0.18145962059497833
Inter Cos: -0.008906460367143154
Norm Quadratic Average: 11.851127624511719
Nearest Class Center Accuracy: 0.8955

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.006503105163574
Linear Weight Rank: 179
Intra Cos: 0.21907447278499603
Inter Cos: -0.0127725163474679
Norm Quadratic Average: 11.717669486999512
Nearest Class Center Accuracy: 0.897

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.013557434082031
Linear Weight Rank: 180
Intra Cos: 0.26466894149780273
Inter Cos: -0.023438412696123123
Norm Quadratic Average: 11.5731782913208
Nearest Class Center Accuracy: 0.8965

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.016451358795166
Linear Weight Rank: 179
Intra Cos: 0.3213180899620056
Inter Cos: -0.028877582401037216
Norm Quadratic Average: 11.426414489746094
Nearest Class Center Accuracy: 0.8995

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6966801881790161
Linear Weight Rank: 4
Intra Cos: 0.4310380816459656
Inter Cos: -0.06982768326997757
Norm Quadratic Average: 11.247779846191406
Nearest Class Center Accuracy: 0.8915

Output Layer:
Intra Cos: 0.7371777296066284
Inter Cos: -0.0693802535533905
Norm Quadratic Average: 7.681888580322266
Nearest Class Center Accuracy: 0.89

