Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2217962741851807
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 3.532651424407959
Linear Weight Rank: 180
Intra Cos: 0.026292361319065094
Inter Cos: -0.004067001398652792
Norm Quadratic Average: 5.42640495300293
Nearest Class Center Accuracy: 0.585875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4289960861206055
Linear Weight Rank: 179
Intra Cos: 0.03346739709377289
Inter Cos: -0.005440692882984877
Norm Quadratic Average: 5.408834457397461
Nearest Class Center Accuracy: 0.66175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3568665981292725
Linear Weight Rank: 179
Intra Cos: 0.04408830404281616
Inter Cos: -0.007998020388185978
Norm Quadratic Average: 5.389364242553711
Nearest Class Center Accuracy: 0.759625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.260796546936035
Linear Weight Rank: 179
Intra Cos: 0.06180335953831673
Inter Cos: -0.01753140613436699
Norm Quadratic Average: 5.387932300567627
Nearest Class Center Accuracy: 0.860375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1859524250030518
Linear Weight Rank: 180
Intra Cos: 0.09063474833965302
Inter Cos: -0.024622971192002296
Norm Quadratic Average: 5.372325897216797
Nearest Class Center Accuracy: 0.961375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.152200937271118
Linear Weight Rank: 179
Intra Cos: 0.17568260431289673
Inter Cos: -0.046406038105487823
Norm Quadratic Average: 5.37774658203125
Nearest Class Center Accuracy: 0.998875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.129225492477417
Linear Weight Rank: 179
Intra Cos: 0.3932070732116699
Inter Cos: -0.10733439773321152
Norm Quadratic Average: 5.385534286499023
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8290375471115112
Linear Weight Rank: 4
Intra Cos: 0.8324244618415833
Inter Cos: -0.22342246770858765
Norm Quadratic Average: 5.7250075340271
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9845023155212402
Inter Cos: -0.2250088006258011
Norm Quadratic Average: 5.352405548095703
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.8116511192321777
Accuracy: 0.7335
NC1 Within Class Collapse: 3.0271072387695312
NC2 Equinorm: Features: 0.0449034757912159, Weights: 0.029123522341251373
NC2 Equiangle: Features: 0.06479491293430328, Weights: 0.02548663318157196
NC3 Self-Duality: 0.09140899032354355
NC4 NCC Mismatch: 0.011499999999999955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.2217962741851807
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.532651424407959
Linear Weight Rank: 180
Intra Cos: 0.024623066186904907
Inter Cos: -0.0025758659467101097
Norm Quadratic Average: 5.431041717529297
Nearest Class Center Accuracy: 0.601

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.4289960861206055
Linear Weight Rank: 179
Intra Cos: 0.02928438037633896
Inter Cos: -0.0024204840883612633
Norm Quadratic Average: 5.395998001098633
Nearest Class Center Accuracy: 0.6385

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.3568665981292725
Linear Weight Rank: 179
Intra Cos: 0.03298486769199371
Inter Cos: -0.006228872574865818
Norm Quadratic Average: 5.375339508056641
Nearest Class Center Accuracy: 0.6735

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.260796546936035
Linear Weight Rank: 179
Intra Cos: 0.044168487191200256
Inter Cos: -0.008925006724894047
Norm Quadratic Average: 5.33621883392334
Nearest Class Center Accuracy: 0.6975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1859524250030518
Linear Weight Rank: 180
Intra Cos: 0.056198373436927795
Inter Cos: -0.008193104527890682
Norm Quadratic Average: 5.259036540985107
Nearest Class Center Accuracy: 0.725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.152200937271118
Linear Weight Rank: 179
Intra Cos: 0.0873553529381752
Inter Cos: -0.013329088687896729
Norm Quadratic Average: 5.135464191436768
Nearest Class Center Accuracy: 0.743

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.129225492477417
Linear Weight Rank: 179
Intra Cos: 0.16281156241893768
Inter Cos: -0.03544727712869644
Norm Quadratic Average: 4.919032573699951
Nearest Class Center Accuracy: 0.741

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8290375471115112
Linear Weight Rank: 4
Intra Cos: 0.3377809226512909
Inter Cos: -0.0711560994386673
Norm Quadratic Average: 4.834468841552734
Nearest Class Center Accuracy: 0.732

Output Layer:
Intra Cos: 0.45902737975120544
Inter Cos: -0.09752208739519119
Norm Quadratic Average: 4.315327167510986
Nearest Class Center Accuracy: 0.7325

