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_846264_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.988952159881592
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: 8.024611473083496
Linear Weight Rank: 180
Intra Cos: 0.06387117505073547
Inter Cos: 0.004563019145280123
Norm Quadratic Average: 13.712380409240723
Nearest Class Center Accuracy: 0.861

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969740390777588
Linear Weight Rank: 179
Intra Cos: 0.09433209151029587
Inter Cos: 0.00578661635518074
Norm Quadratic Average: 13.676742553710938
Nearest Class Center Accuracy: 0.902125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.925777435302734
Linear Weight Rank: 180
Intra Cos: 0.11710944771766663
Inter Cos: 0.0057886503636837006
Norm Quadratic Average: 13.623672485351562
Nearest Class Center Accuracy: 0.939125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.927999973297119
Linear Weight Rank: 180
Intra Cos: 0.13846224546432495
Inter Cos: 0.0020537935197353363
Norm Quadratic Average: 13.61900520324707
Nearest Class Center Accuracy: 0.9625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.910367965698242
Linear Weight Rank: 179
Intra Cos: 0.17124545574188232
Inter Cos: -0.005633097141981125
Norm Quadratic Average: 13.584763526916504
Nearest Class Center Accuracy: 0.98725

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9109039306640625
Linear Weight Rank: 179
Intra Cos: 0.22975964844226837
Inter Cos: -0.017365587875247
Norm Quadratic Average: 13.55135440826416
Nearest Class Center Accuracy: 0.99925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897587299346924
Linear Weight Rank: 179
Intra Cos: 0.2923726439476013
Inter Cos: -0.030761053785681725
Norm Quadratic Average: 13.563115119934082
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0454888343811035
Linear Weight Rank: 4
Intra Cos: 0.46292397379875183
Inter Cos: -0.0965956449508667
Norm Quadratic Average: 13.708845138549805
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9545058012008667
Inter Cos: -0.1440039575099945
Norm Quadratic Average: 10.64177131652832
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.37575202655792234
Accuracy: 0.8765
NC1 Within Class Collapse: 1.243016242980957
NC2 Equinorm: Features: 0.020364372059702873, Weights: 0.025377890095114708
NC2 Equiangle: Features: 0.23070124785105386, Weights: 0.11773029963175456
NC3 Self-Duality: 0.24218980967998505
NC4 NCC Mismatch: 0.020499999999999963

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.988952159881592
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: 8.024611473083496
Linear Weight Rank: 180
Intra Cos: 0.062365055084228516
Inter Cos: 0.002053942298516631
Norm Quadratic Average: 13.690877914428711
Nearest Class Center Accuracy: 0.867

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969740390777588
Linear Weight Rank: 179
Intra Cos: 0.09049994498491287
Inter Cos: 0.002731412649154663
Norm Quadratic Average: 13.656487464904785
Nearest Class Center Accuracy: 0.8885

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.925777435302734
Linear Weight Rank: 180
Intra Cos: 0.10961995273828506
Inter Cos: 0.00010587787255644798
Norm Quadratic Average: 13.636571884155273
Nearest Class Center Accuracy: 0.8895

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.927999973297119
Linear Weight Rank: 180
Intra Cos: 0.12458367645740509
Inter Cos: 0.004020213149487972
Norm Quadratic Average: 13.567938804626465
Nearest Class Center Accuracy: 0.898

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.910367965698242
Linear Weight Rank: 179
Intra Cos: 0.14407791197299957
Inter Cos: -0.002516806358471513
Norm Quadratic Average: 13.515262603759766
Nearest Class Center Accuracy: 0.8945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9109039306640625
Linear Weight Rank: 179
Intra Cos: 0.1785205453634262
Inter Cos: -0.007592668756842613
Norm Quadratic Average: 13.434563636779785
Nearest Class Center Accuracy: 0.892

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.897587299346924
Linear Weight Rank: 179
Intra Cos: 0.22513243556022644
Inter Cos: -0.008885272778570652
Norm Quadratic Average: 13.304756164550781
Nearest Class Center Accuracy: 0.886

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0454888343811035
Linear Weight Rank: 4
Intra Cos: 0.3232698440551758
Inter Cos: -0.03599688038229942
Norm Quadratic Average: 13.085821151733398
Nearest Class Center Accuracy: 0.8815

Output Layer:
Intra Cos: 0.6969258189201355
Inter Cos: -0.043380022048950195
Norm Quadratic Average: 9.726617813110352
Nearest Class Center Accuracy: 0.8765

