Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.859704971313477
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 7.8509440422058105
Linear Weight Rank: 180
Intra Cos: 0.07213302701711655
Inter Cos: 0.0052284495905041695
Norm Quadratic Average: 13.52814769744873
Nearest Class Center Accuracy: 0.87225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.810358047485352
Linear Weight Rank: 179
Intra Cos: 0.10293278098106384
Inter Cos: 0.007271789480000734
Norm Quadratic Average: 13.46187973022461
Nearest Class Center Accuracy: 0.911625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842037677764893
Linear Weight Rank: 179
Intra Cos: 0.13322430849075317
Inter Cos: 0.008090163581073284
Norm Quadratic Average: 13.440232276916504
Nearest Class Center Accuracy: 0.93975

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.792819976806641
Linear Weight Rank: 179
Intra Cos: 0.16166558861732483
Inter Cos: -0.0015478674322366714
Norm Quadratic Average: 13.409648895263672
Nearest Class Center Accuracy: 0.975625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790327548980713
Linear Weight Rank: 180
Intra Cos: 0.19080044329166412
Inter Cos: 0.0017789831617847085
Norm Quadratic Average: 13.383156776428223
Nearest Class Center Accuracy: 0.9895

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.814564228057861
Linear Weight Rank: 180
Intra Cos: 0.2263084501028061
Inter Cos: -0.010259994305670261
Norm Quadratic Average: 13.34044361114502
Nearest Class Center Accuracy: 0.998

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.791933059692383
Linear Weight Rank: 179
Intra Cos: 0.30627089738845825
Inter Cos: -0.03842557594180107
Norm Quadratic Average: 13.353970527648926
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0217161178588867
Linear Weight Rank: 4
Intra Cos: 0.46072718501091003
Inter Cos: -0.09950099885463715
Norm Quadratic Average: 13.485832214355469
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9585590362548828
Inter Cos: -0.14688336849212646
Norm Quadratic Average: 10.28322696685791
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.33435209465026855
Accuracy: 0.8865
NC1 Within Class Collapse: 1.1400635242462158
NC2 Equinorm: Features: 0.010083903558552265, Weights: 0.01699395850300789
NC2 Equiangle: Features: 0.23097558816274008, Weights: 0.0943360726038615
NC3 Self-Duality: 0.24369563162326813
NC4 NCC Mismatch: 0.013000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.859704971313477
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 7.8509440422058105
Linear Weight Rank: 180
Intra Cos: 0.07061200588941574
Inter Cos: 0.00550234317779541
Norm Quadratic Average: 13.516412734985352
Nearest Class Center Accuracy: 0.878

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.810358047485352
Linear Weight Rank: 179
Intra Cos: 0.10021906346082687
Inter Cos: 0.007120555266737938
Norm Quadratic Average: 13.452215194702148
Nearest Class Center Accuracy: 0.9015

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842037677764893
Linear Weight Rank: 179
Intra Cos: 0.12288012355566025
Inter Cos: -0.0005722144851461053
Norm Quadratic Average: 13.424324989318848
Nearest Class Center Accuracy: 0.906

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.792819976806641
Linear Weight Rank: 179
Intra Cos: 0.15257848799228668
Inter Cos: 0.0010571237653493881
Norm Quadratic Average: 13.39432430267334
Nearest Class Center Accuracy: 0.9045

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790327548980713
Linear Weight Rank: 180
Intra Cos: 0.161779522895813
Inter Cos: 0.007307806052267551
Norm Quadratic Average: 13.31888198852539
Nearest Class Center Accuracy: 0.9005

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.814564228057861
Linear Weight Rank: 180
Intra Cos: 0.18236143887043
Inter Cos: 0.0027286475524306297
Norm Quadratic Average: 13.202933311462402
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.791933059692383
Linear Weight Rank: 179
Intra Cos: 0.22562262415885925
Inter Cos: -0.020818324759602547
Norm Quadratic Average: 13.093422889709473
Nearest Class Center Accuracy: 0.898

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0217161178588867
Linear Weight Rank: 4
Intra Cos: 0.32785454392433167
Inter Cos: -0.04110946133732796
Norm Quadratic Average: 12.91390609741211
Nearest Class Center Accuracy: 0.8845

Output Layer:
Intra Cos: 0.7003914713859558
Inter Cos: -0.06323128938674927
Norm Quadratic Average: 9.474778175354004
Nearest Class Center Accuracy: 0.8905

