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_338327_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.170694351196289
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 8.135656356811523
Linear Weight Rank: 180
Intra Cos: 0.06234888359904289
Inter Cos: 0.0015142855700105429
Norm Quadratic Average: 4.7779645919799805
Nearest Class Center Accuracy: 0.798625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11093521118164
Linear Weight Rank: 180
Intra Cos: 0.04264837130904198
Inter Cos: 0.010242070071399212
Norm Quadratic Average: 1.668216586112976
Nearest Class Center Accuracy: 0.72525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09816837310791
Linear Weight Rank: 179
Intra Cos: 0.03533576428890228
Inter Cos: 0.008836126886308193
Norm Quadratic Average: 0.6139954328536987
Nearest Class Center Accuracy: 0.627625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121663093566895
Linear Weight Rank: 180
Intra Cos: 0.038546010851860046
Inter Cos: 0.004633037839084864
Norm Quadratic Average: 0.22860775887966156
Nearest Class Center Accuracy: 0.590125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132116317749023
Linear Weight Rank: 179
Intra Cos: 0.03281654790043831
Inter Cos: 0.006016910076141357
Norm Quadratic Average: 0.09144134819507599
Nearest Class Center Accuracy: 0.5695

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114922523498535
Linear Weight Rank: 180
Intra Cos: 0.028160734102129936
Inter Cos: 0.014867575839161873
Norm Quadratic Average: 0.037806566804647446
Nearest Class Center Accuracy: 0.527375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138428688049316
Linear Weight Rank: 179
Intra Cos: 0.03137744590640068
Inter Cos: 0.017567778006196022
Norm Quadratic Average: 0.014545719139277935
Nearest Class Center Accuracy: 0.474875

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135048866271973
Linear Weight Rank: 179
Intra Cos: 0.03144461661577225
Inter Cos: 0.019241292029619217
Norm Quadratic Average: 0.006144510116428137
Nearest Class Center Accuracy: 0.467125

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11717700958252
Linear Weight Rank: 180
Intra Cos: 0.030817747116088867
Inter Cos: 0.012724136933684349
Norm Quadratic Average: 0.0025830066297203302
Nearest Class Center Accuracy: 0.44675

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13017463684082
Linear Weight Rank: 180
Intra Cos: 0.027504263445734978
Inter Cos: 0.01339586079120636
Norm Quadratic Average: 0.0011683354387059808
Nearest Class Center Accuracy: 0.41825

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1354529857635498
Linear Weight Rank: 4
Intra Cos: 0.024293387308716774
Inter Cos: 0.0180423092097044
Norm Quadratic Average: 0.000452546461019665
Nearest Class Center Accuracy: 0.402

Output Layer:
Intra Cos: 0.013415133580565453
Inter Cos: 0.015009816735982895
Norm Quadratic Average: 3.6588269722415134e-05
Nearest Class Center Accuracy: 0.31125

Test Set:
Average Loss: 1.3875043792724608
Accuracy: 0.257
NC1 Within Class Collapse: 128.1988983154297
NC2 Equinorm: Features: 0.18597763776779175, Weights: 0.017512578517198563
NC2 Equiangle: Features: 0.4679436683654785, Weights: 0.318368395169576
NC3 Self-Duality: 1.9784085750579834
NC4 NCC Mismatch: 0.8180000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.170694351196289
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 8.135656356811523
Linear Weight Rank: 180
Intra Cos: 0.06408970803022385
Inter Cos: 0.005094378720968962
Norm Quadratic Average: 4.769396781921387
Nearest Class Center Accuracy: 0.805

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11093521118164
Linear Weight Rank: 180
Intra Cos: 0.04336948320269585
Inter Cos: 0.011782931163907051
Norm Quadratic Average: 1.6638813018798828
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09816837310791
Linear Weight Rank: 179
Intra Cos: 0.03451823443174362
Inter Cos: 0.010574457235634327
Norm Quadratic Average: 0.611961841583252
Nearest Class Center Accuracy: 0.6345

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.121663093566895
Linear Weight Rank: 180
Intra Cos: 0.040365926921367645
Inter Cos: 0.005276696756482124
Norm Quadratic Average: 0.22847086191177368
Nearest Class Center Accuracy: 0.6125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132116317749023
Linear Weight Rank: 179
Intra Cos: 0.029750943183898926
Inter Cos: 0.007131167687475681
Norm Quadratic Average: 0.09136342257261276
Nearest Class Center Accuracy: 0.586

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.114922523498535
Linear Weight Rank: 180
Intra Cos: 0.023608878254890442
Inter Cos: 0.01639031432569027
Norm Quadratic Average: 0.037739045917987823
Nearest Class Center Accuracy: 0.556

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138428688049316
Linear Weight Rank: 179
Intra Cos: 0.023759663105010986
Inter Cos: 0.016615653410553932
Norm Quadratic Average: 0.014527987688779831
Nearest Class Center Accuracy: 0.5075

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135048866271973
Linear Weight Rank: 179
Intra Cos: 0.028302665799856186
Inter Cos: 0.019051117822527885
Norm Quadratic Average: 0.006135969888418913
Nearest Class Center Accuracy: 0.4965

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11717700958252
Linear Weight Rank: 180
Intra Cos: 0.02343834936618805
Inter Cos: 0.013003073632717133
Norm Quadratic Average: 0.002573090372607112
Nearest Class Center Accuracy: 0.472

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13017463684082
Linear Weight Rank: 180
Intra Cos: 0.02246994525194168
Inter Cos: 0.012598156929016113
Norm Quadratic Average: 0.0011639917502179742
Nearest Class Center Accuracy: 0.431

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1354529857635498
Linear Weight Rank: 4
Intra Cos: 0.023818157613277435
Inter Cos: 0.016287215054035187
Norm Quadratic Average: 0.00045140492147766054
Nearest Class Center Accuracy: 0.4205

Output Layer:
Intra Cos: 0.009906454011797905
Inter Cos: 0.015507705509662628
Norm Quadratic Average: 3.675747211673297e-05
Nearest Class Center Accuracy: 0.302

