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_846264_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.036844253540039
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 7.995519638061523
Linear Weight Rank: 179
Intra Cos: 0.05371471494436264
Inter Cos: 0.005677732639014721
Norm Quadratic Average: 4.760985374450684
Nearest Class Center Accuracy: 0.8065

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978122711181641
Linear Weight Rank: 179
Intra Cos: 0.052948299795389175
Inter Cos: 0.01112399436533451
Norm Quadratic Average: 1.6771011352539062
Nearest Class Center Accuracy: 0.71025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.951275825500488
Linear Weight Rank: 179
Intra Cos: 0.04965613782405853
Inter Cos: 0.011308512650430202
Norm Quadratic Average: 0.6246691346168518
Nearest Class Center Accuracy: 0.6865

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967556953430176
Linear Weight Rank: 180
Intra Cos: 0.04808662459254265
Inter Cos: 0.006589189637452364
Norm Quadratic Average: 0.24229204654693604
Nearest Class Center Accuracy: 0.62625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9596028327941895
Linear Weight Rank: 179
Intra Cos: 0.04958648979663849
Inter Cos: 0.016590412706136703
Norm Quadratic Average: 0.09457497298717499
Nearest Class Center Accuracy: 0.591875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966240882873535
Linear Weight Rank: 180
Intra Cos: 0.04882829263806343
Inter Cos: 0.012313210405409336
Norm Quadratic Average: 0.035176049917936325
Nearest Class Center Accuracy: 0.59475

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.955795764923096
Linear Weight Rank: 179
Intra Cos: 0.04457447677850723
Inter Cos: 0.006533383391797543
Norm Quadratic Average: 0.014406785368919373
Nearest Class Center Accuracy: 0.558875

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973746299743652
Linear Weight Rank: 179
Intra Cos: 0.042795006185770035
Inter Cos: 0.005608581472188234
Norm Quadratic Average: 0.005896736867725849
Nearest Class Center Accuracy: 0.539875

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963877201080322
Linear Weight Rank: 180
Intra Cos: 0.035890642553567886
Inter Cos: 0.007102517876774073
Norm Quadratic Average: 0.002377861412242055
Nearest Class Center Accuracy: 0.513

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.961871147155762
Linear Weight Rank: 180
Intra Cos: 0.03586417809128761
Inter Cos: 0.005089802201837301
Norm Quadratic Average: 0.0010298613924533129
Nearest Class Center Accuracy: 0.474875

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.135212779045105
Linear Weight Rank: 4
Intra Cos: 0.029017005115747452
Inter Cos: 0.004217775538563728
Norm Quadratic Average: 0.0004027256218250841
Nearest Class Center Accuracy: 0.47425

Output Layer:
Intra Cos: 0.04264569655060768
Inter Cos: 0.03217426314949989
Norm Quadratic Average: 3.230022412026301e-05
Nearest Class Center Accuracy: 0.424125

Test Set:
Average Loss: 1.3874992752075195
Accuracy: 0.257
NC1 Within Class Collapse: 94.69074249267578
NC2 Equinorm: Features: 0.14230650663375854, Weights: 0.03882335126399994
NC2 Equiangle: Features: 0.42112008730570477, Weights: 0.3167145252227783
NC3 Self-Duality: 1.806748390197754
NC4 NCC Mismatch: 0.7335

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.036844253540039
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.995519638061523
Linear Weight Rank: 179
Intra Cos: 0.05187758430838585
Inter Cos: 0.0028668525628745556
Norm Quadratic Average: 4.753889083862305
Nearest Class Center Accuracy: 0.82

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.978122711181641
Linear Weight Rank: 179
Intra Cos: 0.04975684732198715
Inter Cos: 0.0060731531120836735
Norm Quadratic Average: 1.6710706949234009
Nearest Class Center Accuracy: 0.719

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.951275825500488
Linear Weight Rank: 179
Intra Cos: 0.044837865978479385
Inter Cos: 0.0059011769481003284
Norm Quadratic Average: 0.6234498023986816
Nearest Class Center Accuracy: 0.6835

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.967556953430176
Linear Weight Rank: 180
Intra Cos: 0.04535932466387749
Inter Cos: 0.00867682695388794
Norm Quadratic Average: 0.24162240326404572
Nearest Class Center Accuracy: 0.6425

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9596028327941895
Linear Weight Rank: 179
Intra Cos: 0.05007455125451088
Inter Cos: 0.018235668540000916
Norm Quadratic Average: 0.09458176046609879
Nearest Class Center Accuracy: 0.5975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966240882873535
Linear Weight Rank: 180
Intra Cos: 0.05091017857193947
Inter Cos: 0.012684052810072899
Norm Quadratic Average: 0.03507492318749428
Nearest Class Center Accuracy: 0.6075

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.955795764923096
Linear Weight Rank: 179
Intra Cos: 0.046518418937921524
Inter Cos: 0.0076044537127017975
Norm Quadratic Average: 0.014352691359817982
Nearest Class Center Accuracy: 0.5725

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973746299743652
Linear Weight Rank: 179
Intra Cos: 0.04593253508210182
Inter Cos: 0.0071968031115829945
Norm Quadratic Average: 0.005875325761735439
Nearest Class Center Accuracy: 0.5375

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963877201080322
Linear Weight Rank: 180
Intra Cos: 0.040041226893663406
Inter Cos: 0.009296913631260395
Norm Quadratic Average: 0.00237977784126997
Nearest Class Center Accuracy: 0.5055

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.961871147155762
Linear Weight Rank: 180
Intra Cos: 0.0416707769036293
Inter Cos: 0.006951810326427221
Norm Quadratic Average: 0.001031959312967956
Nearest Class Center Accuracy: 0.4845

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.135212779045105
Linear Weight Rank: 4
Intra Cos: 0.03237324580550194
Inter Cos: 0.007210491690784693
Norm Quadratic Average: 0.00040310819167643785
Nearest Class Center Accuracy: 0.485

Output Layer:
Intra Cos: 0.03470010310411453
Inter Cos: 0.01679571345448494
Norm Quadratic Average: 3.254059629398398e-05
Nearest Class Center Accuracy: 0.428

