Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.237446784973145
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130703926086426
Linear Weight Rank: 179
Intra Cos: 0.02866596356034279
Inter Cos: -0.003976768348366022
Norm Quadratic Average: 4.8298139572143555
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111997604370117
Linear Weight Rank: 179
Intra Cos: 0.026148656383156776
Inter Cos: -0.003403883893042803
Norm Quadratic Average: 1.8137037754058838
Nearest Class Center Accuracy: 0.538

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13708782196045
Linear Weight Rank: 180
Intra Cos: 0.0226081945002079
Inter Cos: -0.002692681737244129
Norm Quadratic Average: 0.6855794787406921
Nearest Class Center Accuracy: 0.52925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.108882904052734
Linear Weight Rank: 180
Intra Cos: 0.022982798516750336
Inter Cos: 0.0004926217952743173
Norm Quadratic Average: 0.2641851603984833
Nearest Class Center Accuracy: 0.510125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130653381347656
Linear Weight Rank: 180
Intra Cos: 0.02616903744637966
Inter Cos: -0.00042238496826030314
Norm Quadratic Average: 0.10654225945472717
Nearest Class Center Accuracy: 0.50925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109968185424805
Linear Weight Rank: 180
Intra Cos: 0.02520482800900936
Inter Cos: 0.001201984123326838
Norm Quadratic Average: 0.04189448431134224
Nearest Class Center Accuracy: 0.501

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109014511108398
Linear Weight Rank: 180
Intra Cos: 0.028155336156487465
Inter Cos: 0.005542540457099676
Norm Quadratic Average: 0.015638038516044617
Nearest Class Center Accuracy: 0.4845

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1595795154571533
Linear Weight Rank: 4
Intra Cos: 0.029848657548427582
Inter Cos: 0.007521482650190592
Norm Quadratic Average: 0.006613900884985924
Nearest Class Center Accuracy: 0.475625

Output Layer:
Intra Cos: 0.0585586279630661
Inter Cos: 0.017006702721118927
Norm Quadratic Average: 0.0006574104772880673
Nearest Class Center Accuracy: 0.437625

Test Set:
Average Loss: 1.3866737213134765
Accuracy: 0.255
NC1 Within Class Collapse: 21.406505584716797
NC2 Equinorm: Features: 0.08600043505430222, Weights: 0.05534367263317108
NC2 Equiangle: Features: 0.29372870922088623, Weights: 0.31878642241160077
NC3 Self-Duality: 1.6111472845077515
NC4 NCC Mismatch: 0.7375

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.237446784973145
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724981188774
Norm Quadratic Average: 3.995159864425659
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130703926086426
Linear Weight Rank: 179
Intra Cos: 0.025963395833969116
Inter Cos: -0.003691191552206874
Norm Quadratic Average: 4.836769104003906
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111997604370117
Linear Weight Rank: 179
Intra Cos: 0.023831315338611603
Inter Cos: -0.003078735899180174
Norm Quadratic Average: 1.8152822256088257
Nearest Class Center Accuracy: 0.551

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13708782196045
Linear Weight Rank: 180
Intra Cos: 0.019420217722654343
Inter Cos: -0.001531534013338387
Norm Quadratic Average: 0.6865146160125732
Nearest Class Center Accuracy: 0.544

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.108882904052734
Linear Weight Rank: 180
Intra Cos: 0.020338011905550957
Inter Cos: 0.0016699640545994043
Norm Quadratic Average: 0.2639973759651184
Nearest Class Center Accuracy: 0.522

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.130653381347656
Linear Weight Rank: 180
Intra Cos: 0.022100092843174934
Inter Cos: 0.0010442662751302123
Norm Quadratic Average: 0.10662088543176651
Nearest Class Center Accuracy: 0.513

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109968185424805
Linear Weight Rank: 180
Intra Cos: 0.022093452513217926
Inter Cos: 0.0002725045196712017
Norm Quadratic Average: 0.04195920005440712
Nearest Class Center Accuracy: 0.507

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.109014511108398
Linear Weight Rank: 180
Intra Cos: 0.02228221856057644
Inter Cos: 0.004604525864124298
Norm Quadratic Average: 0.015642814338207245
Nearest Class Center Accuracy: 0.4745

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1595795154571533
Linear Weight Rank: 4
Intra Cos: 0.02464035525918007
Inter Cos: 0.005351660307496786
Norm Quadratic Average: 0.006619012448936701
Nearest Class Center Accuracy: 0.4725

Output Layer:
Intra Cos: 0.049445152282714844
Inter Cos: 0.01888996548950672
Norm Quadratic Average: 0.0006558866589330137
Nearest Class Center Accuracy: 0.448

