Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.148083686828613
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.249343872070312
Linear Weight Rank: 180
Intra Cos: 0.025140587240457535
Inter Cos: -0.003300983924418688
Norm Quadratic Average: 14.090275764465332
Nearest Class Center Accuracy: 0.585

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.226286888122559
Linear Weight Rank: 180
Intra Cos: 0.02683989331126213
Inter Cos: -0.0029844248201698065
Norm Quadratic Average: 14.074991226196289
Nearest Class Center Accuracy: 0.638625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135007858276367
Linear Weight Rank: 179
Intra Cos: 0.03782641887664795
Inter Cos: -0.004960720892995596
Norm Quadratic Average: 14.036955833435059
Nearest Class Center Accuracy: 0.7395

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.123645782470703
Linear Weight Rank: 179
Intra Cos: 0.06377936154603958
Inter Cos: -0.01593691296875477
Norm Quadratic Average: 14.007713317871094
Nearest Class Center Accuracy: 0.933875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.852832317352295
Linear Weight Rank: 4
Intra Cos: 0.19331631064414978
Inter Cos: -0.045232221484184265
Norm Quadratic Average: 14.262086868286133
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.852462112903595
Inter Cos: -0.13240310549736023
Norm Quadratic Average: 11.397217750549316
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.099428192138672
Accuracy: 0.7345
NC1 Within Class Collapse: 3.775479555130005
NC2 Equinorm: Features: 0.04966556653380394, Weights: 0.02350722625851631
NC2 Equiangle: Features: 0.11913583676020305, Weights: 0.0556438018878301
NC3 Self-Duality: 0.1952296942472458
NC4 NCC Mismatch: 0.04949999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.148083686828613
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549723118543625
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.249343872070312
Linear Weight Rank: 180
Intra Cos: 0.024411704391241074
Inter Cos: -0.0026483030524104834
Norm Quadratic Average: 14.153974533081055
Nearest Class Center Accuracy: 0.576

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.226286888122559
Linear Weight Rank: 180
Intra Cos: 0.02336302399635315
Inter Cos: -0.002239402150735259
Norm Quadratic Average: 14.105661392211914
Nearest Class Center Accuracy: 0.621

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.135007858276367
Linear Weight Rank: 179
Intra Cos: 0.0284368097782135
Inter Cos: -0.0015432327054440975
Norm Quadratic Average: 14.044952392578125
Nearest Class Center Accuracy: 0.665

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.123645782470703
Linear Weight Rank: 179
Intra Cos: 0.04060746356844902
Inter Cos: -0.00552367465570569
Norm Quadratic Average: 13.926689147949219
Nearest Class Center Accuracy: 0.711

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.852832317352295
Linear Weight Rank: 4
Intra Cos: 0.09305641055107117
Inter Cos: -0.016513453796505928
Norm Quadratic Average: 13.952932357788086
Nearest Class Center Accuracy: 0.738

Output Layer:
Intra Cos: 0.41333651542663574
Inter Cos: -0.06734655797481537
Norm Quadratic Average: 10.514689445495605
Nearest Class Center Accuracy: 0.728

