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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.877946376800537
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: 7.848781108856201
Linear Weight Rank: 180
Intra Cos: 0.07131494581699371
Inter Cos: 0.0022126655094325542
Norm Quadratic Average: 13.339794158935547
Nearest Class Center Accuracy: 0.865125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.79765510559082
Linear Weight Rank: 179
Intra Cos: 0.10808876901865005
Inter Cos: 0.003910619765520096
Norm Quadratic Average: 13.291690826416016
Nearest Class Center Accuracy: 0.92275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802703380584717
Linear Weight Rank: 180
Intra Cos: 0.12356965988874435
Inter Cos: -0.002094560768455267
Norm Quadratic Average: 13.25826644897461
Nearest Class Center Accuracy: 0.9315

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763202667236328
Linear Weight Rank: 180
Intra Cos: 0.15084806084632874
Inter Cos: -0.00014371296856552362
Norm Quadratic Average: 13.205089569091797
Nearest Class Center Accuracy: 0.972625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775816917419434
Linear Weight Rank: 180
Intra Cos: 0.19249360263347626
Inter Cos: -0.0034839126747101545
Norm Quadratic Average: 13.197405815124512
Nearest Class Center Accuracy: 0.990125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750359535217285
Linear Weight Rank: 179
Intra Cos: 0.23306354880332947
Inter Cos: -0.018397023901343346
Norm Quadratic Average: 13.198319435119629
Nearest Class Center Accuracy: 0.99825

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.746547698974609
Linear Weight Rank: 180
Intra Cos: 0.3314533829689026
Inter Cos: -0.030378082767128944
Norm Quadratic Average: 13.246405601501465
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0372397899627686
Linear Weight Rank: 4
Intra Cos: 0.4950309991836548
Inter Cos: -0.09491195529699326
Norm Quadratic Average: 13.421001434326172
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9657818675041199
Inter Cos: -0.12603551149368286
Norm Quadratic Average: 10.585285186767578
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38309465503692625
Accuracy: 0.884
NC1 Within Class Collapse: 1.1897881031036377
NC2 Equinorm: Features: 0.011996228247880936, Weights: 0.050693266093730927
NC2 Equiangle: Features: 0.2336655855178833, Weights: 0.12427292267481486
NC3 Self-Duality: 0.22394691407680511
NC4 NCC Mismatch: 0.010499999999999954

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.877946376800537
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: 7.848781108856201
Linear Weight Rank: 180
Intra Cos: 0.07236902415752411
Inter Cos: 0.0038293295074254274
Norm Quadratic Average: 13.31586742401123
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.79765510559082
Linear Weight Rank: 179
Intra Cos: 0.10372006148099899
Inter Cos: 0.0015340588288381696
Norm Quadratic Average: 13.287468910217285
Nearest Class Center Accuracy: 0.908

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802703380584717
Linear Weight Rank: 180
Intra Cos: 0.11731089651584625
Inter Cos: 0.004904794041067362
Norm Quadratic Average: 13.260933876037598
Nearest Class Center Accuracy: 0.8955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763202667236328
Linear Weight Rank: 180
Intra Cos: 0.13322865962982178
Inter Cos: -0.001109427772462368
Norm Quadratic Average: 13.201541900634766
Nearest Class Center Accuracy: 0.893

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775816917419434
Linear Weight Rank: 180
Intra Cos: 0.158378005027771
Inter Cos: 0.0019866800867021084
Norm Quadratic Average: 13.228242874145508
Nearest Class Center Accuracy: 0.885

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750359535217285
Linear Weight Rank: 179
Intra Cos: 0.18085460364818573
Inter Cos: -0.0028913207352161407
Norm Quadratic Average: 13.182665824890137
Nearest Class Center Accuracy: 0.877

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.746547698974609
Linear Weight Rank: 180
Intra Cos: 0.24011774361133575
Inter Cos: -0.011035981588065624
Norm Quadratic Average: 13.052956581115723
Nearest Class Center Accuracy: 0.8875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0372397899627686
Linear Weight Rank: 4
Intra Cos: 0.3461337089538574
Inter Cos: -0.03185410052537918
Norm Quadratic Average: 12.89387035369873
Nearest Class Center Accuracy: 0.887

Output Layer:
Intra Cos: 0.7298870086669922
Inter Cos: -0.02572326734662056
Norm Quadratic Average: 9.781146049499512
Nearest Class Center Accuracy: 0.8875

