Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.174322128295898
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151257514953613
Linear Weight Rank: 180
Intra Cos: 0.02921081706881523
Inter Cos: -0.004803111776709557
Norm Quadratic Average: 13.897994995117188
Nearest Class Center Accuracy: 0.59175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.092500686645508
Linear Weight Rank: 179
Intra Cos: 0.02927378937602043
Inter Cos: -0.005892543122172356
Norm Quadratic Average: 13.869441032409668
Nearest Class Center Accuracy: 0.63075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084161758422852
Linear Weight Rank: 180
Intra Cos: 0.03476407751441002
Inter Cos: -0.010142595507204533
Norm Quadratic Average: 13.862347602844238
Nearest Class Center Accuracy: 0.727375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036550521850586
Linear Weight Rank: 179
Intra Cos: 0.0652044266462326
Inter Cos: -0.01811085268855095
Norm Quadratic Average: 13.857635498046875
Nearest Class Center Accuracy: 0.931375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8565382957458496
Linear Weight Rank: 4
Intra Cos: 0.2027706503868103
Inter Cos: -0.05450081452727318
Norm Quadratic Average: 14.091169357299805
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8543511033058167
Inter Cos: -0.18475878238677979
Norm Quadratic Average: 11.453831672668457
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.1296124000549317
Accuracy: 0.7205
NC1 Within Class Collapse: 3.905214309692383
NC2 Equinorm: Features: 0.07535431534051895, Weights: 0.044306620955467224
NC2 Equiangle: Features: 0.08616435527801514, Weights: 0.04680583874384562
NC3 Self-Duality: 0.18573178350925446
NC4 NCC Mismatch: 0.05149999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.174322128295898
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549726843833923
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151257514953613
Linear Weight Rank: 180
Intra Cos: 0.026607686653733253
Inter Cos: -0.00454910472035408
Norm Quadratic Average: 13.913464546203613
Nearest Class Center Accuracy: 0.5965

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.092500686645508
Linear Weight Rank: 179
Intra Cos: 0.025458987802267075
Inter Cos: -0.005400951951742172
Norm Quadratic Average: 13.873645782470703
Nearest Class Center Accuracy: 0.624

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.084161758422852
Linear Weight Rank: 180
Intra Cos: 0.025982718914747238
Inter Cos: -0.006334292236715555
Norm Quadratic Average: 13.842361450195312
Nearest Class Center Accuracy: 0.6595

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036550521850586
Linear Weight Rank: 179
Intra Cos: 0.037450291216373444
Inter Cos: -0.007798023521900177
Norm Quadratic Average: 13.788756370544434
Nearest Class Center Accuracy: 0.6965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.8565382957458496
Linear Weight Rank: 4
Intra Cos: 0.08951859176158905
Inter Cos: -0.017845073714852333
Norm Quadratic Average: 13.740825653076172
Nearest Class Center Accuracy: 0.726

Output Layer:
Intra Cos: 0.3934975564479828
Inter Cos: -0.08394937217235565
Norm Quadratic Average: 10.525976181030273
Nearest Class Center Accuracy: 0.7215

