Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04284381866455
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
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: 8.056414604187012
Linear Weight Rank: 179
Intra Cos: 0.06346667557954788
Inter Cos: 0.007468539290130138
Norm Quadratic Average: 4.792065620422363
Nearest Class Center Accuracy: 0.82225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.075582504272461
Linear Weight Rank: 179
Intra Cos: 0.04702908918261528
Inter Cos: 0.004520670510828495
Norm Quadratic Average: 1.6654399633407593
Nearest Class Center Accuracy: 0.743125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.017680168151855
Linear Weight Rank: 179
Intra Cos: 0.03627451881766319
Inter Cos: 0.0025790610816329718
Norm Quadratic Average: 0.6032117009162903
Nearest Class Center Accuracy: 0.648875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026936531066895
Linear Weight Rank: 180
Intra Cos: 0.032679103314876556
Inter Cos: 0.006822830997407436
Norm Quadratic Average: 0.22763386368751526
Nearest Class Center Accuracy: 0.598625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048287391662598
Linear Weight Rank: 179
Intra Cos: 0.025341149419546127
Inter Cos: 0.00884060189127922
Norm Quadratic Average: 0.08916465938091278
Nearest Class Center Accuracy: 0.547375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027503967285156
Linear Weight Rank: 180
Intra Cos: 0.02458530105650425
Inter Cos: 0.006559774745255709
Norm Quadratic Average: 0.03193855658173561
Nearest Class Center Accuracy: 0.538125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02200984954834
Linear Weight Rank: 179
Intra Cos: 0.0214960016310215
Inter Cos: 0.0065038143657147884
Norm Quadratic Average: 0.013177016749978065
Nearest Class Center Accuracy: 0.507125

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03888988494873
Linear Weight Rank: 179
Intra Cos: 0.027435190975666046
Inter Cos: 0.011748570948839188
Norm Quadratic Average: 0.005391995422542095
Nearest Class Center Accuracy: 0.491375

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044574737548828
Linear Weight Rank: 180
Intra Cos: 0.028095722198486328
Inter Cos: 0.008817557245492935
Norm Quadratic Average: 0.002019293373450637
Nearest Class Center Accuracy: 0.482

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005967140197754
Linear Weight Rank: 180
Intra Cos: 0.0233729537576437
Inter Cos: 0.005996495485305786
Norm Quadratic Average: 0.0008056918159127235
Nearest Class Center Accuracy: 0.45575

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.132243275642395
Linear Weight Rank: 4
Intra Cos: 0.021680593490600586
Inter Cos: 0.004167272709310055
Norm Quadratic Average: 0.00030242063803598285
Nearest Class Center Accuracy: 0.456625

Output Layer:
Intra Cos: 0.006564874667674303
Inter Cos: 0.01118492241948843
Norm Quadratic Average: 2.188130201830063e-05
Nearest Class Center Accuracy: 0.328625

Test Set:
Average Loss: 1.387504440307617
Accuracy: 0.257
NC1 Within Class Collapse: 76.18199157714844
NC2 Equinorm: Features: 0.09775199741125107, Weights: 0.022089922800660133
NC2 Equiangle: Features: 0.3816149632136027, Weights: 0.2856525778770447
NC3 Self-Duality: 1.9904346466064453
NC4 NCC Mismatch: 0.7264999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.04284381866455
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.056414604187012
Linear Weight Rank: 179
Intra Cos: 0.06325855106115341
Inter Cos: 0.00923116970807314
Norm Quadratic Average: 4.7855682373046875
Nearest Class Center Accuracy: 0.8235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.075582504272461
Linear Weight Rank: 179
Intra Cos: 0.04612667113542557
Inter Cos: 0.005863393656909466
Norm Quadratic Average: 1.665582537651062
Nearest Class Center Accuracy: 0.7515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.017680168151855
Linear Weight Rank: 179
Intra Cos: 0.039580922573804855
Inter Cos: 0.0026982808485627174
Norm Quadratic Average: 0.6025371551513672
Nearest Class Center Accuracy: 0.6575

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.026936531066895
Linear Weight Rank: 180
Intra Cos: 0.03574678301811218
Inter Cos: 0.00789552554488182
Norm Quadratic Average: 0.22802035510540009
Nearest Class Center Accuracy: 0.6195

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.048287391662598
Linear Weight Rank: 179
Intra Cos: 0.031614501029253006
Inter Cos: 0.012030231766402721
Norm Quadratic Average: 0.08923255652189255
Nearest Class Center Accuracy: 0.554

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027503967285156
Linear Weight Rank: 180
Intra Cos: 0.028193172067403793
Inter Cos: 0.009087085723876953
Norm Quadratic Average: 0.03202100843191147
Nearest Class Center Accuracy: 0.54

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.02200984954834
Linear Weight Rank: 179
Intra Cos: 0.026506438851356506
Inter Cos: 0.006699398159980774
Norm Quadratic Average: 0.013215936720371246
Nearest Class Center Accuracy: 0.5185

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03888988494873
Linear Weight Rank: 179
Intra Cos: 0.02835160866379738
Inter Cos: 0.010170528665184975
Norm Quadratic Average: 0.005409226752817631
Nearest Class Center Accuracy: 0.512

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.044574737548828
Linear Weight Rank: 180
Intra Cos: 0.028654159978032112
Inter Cos: 0.006491808220744133
Norm Quadratic Average: 0.0020260910969227552
Nearest Class Center Accuracy: 0.51

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.005967140197754
Linear Weight Rank: 180
Intra Cos: 0.022492047399282455
Inter Cos: 0.008872694335877895
Norm Quadratic Average: 0.000808889337349683
Nearest Class Center Accuracy: 0.482

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.132243275642395
Linear Weight Rank: 4
Intra Cos: 0.02123030461370945
Inter Cos: 0.00830474216490984
Norm Quadratic Average: 0.0003038547874893993
Nearest Class Center Accuracy: 0.4705

Output Layer:
Intra Cos: 0.012636487372219563
Inter Cos: 0.018513111397624016
Norm Quadratic Average: 2.1742556782555766e-05
Nearest Class Center Accuracy: 0.341

