Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.004143714904785
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
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: 7.970394611358643
Linear Weight Rank: 180
Intra Cos: 0.0623888336122036
Inter Cos: 0.0015523924957960844
Norm Quadratic Average: 4.6806745529174805
Nearest Class Center Accuracy: 0.799

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.946208953857422
Linear Weight Rank: 180
Intra Cos: 0.04431174695491791
Inter Cos: 0.010920493863523006
Norm Quadratic Average: 1.605459213256836
Nearest Class Center Accuracy: 0.725125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.933817386627197
Linear Weight Rank: 179
Intra Cos: 0.03711320459842682
Inter Cos: 0.011448189616203308
Norm Quadratic Average: 0.5828079581260681
Nearest Class Center Accuracy: 0.633

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956952095031738
Linear Weight Rank: 180
Intra Cos: 0.04327809438109398
Inter Cos: 0.00987499114125967
Norm Quadratic Average: 0.21511881053447723
Nearest Class Center Accuracy: 0.5985

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9672722816467285
Linear Weight Rank: 179
Intra Cos: 0.04802895337343216
Inter Cos: 0.015380476601421833
Norm Quadratic Average: 0.08564561605453491
Nearest Class Center Accuracy: 0.575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.950486660003662
Linear Weight Rank: 180
Intra Cos: 0.043939992785453796
Inter Cos: 0.03567099571228027
Norm Quadratic Average: 0.03595418855547905
Nearest Class Center Accuracy: 0.53875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973443031311035
Linear Weight Rank: 179
Intra Cos: 0.04331282526254654
Inter Cos: 0.047298602759838104
Norm Quadratic Average: 0.014005128294229507
Nearest Class Center Accuracy: 0.4935

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0972470045089722
Linear Weight Rank: 4
Intra Cos: 0.04772743955254555
Inter Cos: 0.05543045327067375
Norm Quadratic Average: 0.0058330935426056385
Nearest Class Center Accuracy: 0.4835

Output Layer:
Intra Cos: 0.09488553553819656
Inter Cos: 0.1439412534236908
Norm Quadratic Average: 0.0007774275145493448
Nearest Class Center Accuracy: 0.457125

Test Set:
Average Loss: 1.3872810020446777
Accuracy: 0.257
NC1 Within Class Collapse: 99.27350616455078
NC2 Equinorm: Features: 0.20815590023994446, Weights: 0.007841820828616619
NC2 Equiangle: Features: 0.5876985788345337, Weights: 0.34934274355570477
NC3 Self-Duality: 1.5786736011505127
NC4 NCC Mismatch: 0.8475

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.004143714904785
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 7.970394611358643
Linear Weight Rank: 180
Intra Cos: 0.06413718312978745
Inter Cos: 0.005131014622747898
Norm Quadratic Average: 4.672317028045654
Nearest Class Center Accuracy: 0.8045

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.946208953857422
Linear Weight Rank: 180
Intra Cos: 0.044993601739406586
Inter Cos: 0.012479300610721111
Norm Quadratic Average: 1.601486086845398
Nearest Class Center Accuracy: 0.7285

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.933817386627197
Linear Weight Rank: 179
Intra Cos: 0.039076268672943115
Inter Cos: 0.01314083393663168
Norm Quadratic Average: 0.5810987949371338
Nearest Class Center Accuracy: 0.644

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956952095031738
Linear Weight Rank: 180
Intra Cos: 0.05081182345747948
Inter Cos: 0.010583623312413692
Norm Quadratic Average: 0.21510864794254303
Nearest Class Center Accuracy: 0.6135

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9672722816467285
Linear Weight Rank: 179
Intra Cos: 0.0461760088801384
Inter Cos: 0.016946332529187202
Norm Quadratic Average: 0.08559112250804901
Nearest Class Center Accuracy: 0.597

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.950486660003662
Linear Weight Rank: 180
Intra Cos: 0.05103902146220207
Inter Cos: 0.038047853857278824
Norm Quadratic Average: 0.035931047052145004
Nearest Class Center Accuracy: 0.568

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973443031311035
Linear Weight Rank: 179
Intra Cos: 0.04926088824868202
Inter Cos: 0.048181433230638504
Norm Quadratic Average: 0.014030398800969124
Nearest Class Center Accuracy: 0.5135

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0972470045089722
Linear Weight Rank: 4
Intra Cos: 0.05270828679203987
Inter Cos: 0.055942270904779434
Norm Quadratic Average: 0.0058433897793293
Nearest Class Center Accuracy: 0.4945

Output Layer:
Intra Cos: 0.09819523245096207
Inter Cos: 0.1572956144809723
Norm Quadratic Average: 0.0007874771836213768
Nearest Class Center Accuracy: 0.4665

