Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.265595436096191
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222445983439684
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: 8.320159912109375
Linear Weight Rank: 180
Intra Cos: 0.02890312485396862
Inter Cos: -0.0046630846336483955
Norm Quadratic Average: 14.110151290893555
Nearest Class Center Accuracy: 0.592375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241997718811035
Linear Weight Rank: 180
Intra Cos: 0.03067111223936081
Inter Cos: -0.005740419961512089
Norm Quadratic Average: 14.09567642211914
Nearest Class Center Accuracy: 0.623

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.225028991699219
Linear Weight Rank: 180
Intra Cos: 0.03394217789173126
Inter Cos: -0.007641700096428394
Norm Quadratic Average: 14.068363189697266
Nearest Class Center Accuracy: 0.682625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167222023010254
Linear Weight Rank: 180
Intra Cos: 0.04488682001829147
Inter Cos: -0.006917948834598064
Norm Quadratic Average: 14.055567741394043
Nearest Class Center Accuracy: 0.769

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16329574584961
Linear Weight Rank: 180
Intra Cos: 0.056175973266363144
Inter Cos: -0.010626554489135742
Norm Quadratic Average: 14.049221992492676
Nearest Class Center Accuracy: 0.872375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12501335144043
Linear Weight Rank: 180
Intra Cos: 0.08995097875595093
Inter Cos: -0.022735565900802612
Norm Quadratic Average: 14.0516996383667
Nearest Class Center Accuracy: 0.971

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.115549087524414
Linear Weight Rank: 180
Intra Cos: 0.16640669107437134
Inter Cos: -0.04625321924686432
Norm Quadratic Average: 14.076662063598633
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.389242649078369
Linear Weight Rank: 4
Intra Cos: 0.36232396960258484
Inter Cos: -0.09782253205776215
Norm Quadratic Average: 14.324294090270996
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9195777177810669
Inter Cos: -0.2429104745388031
Norm Quadratic Average: 11.668904304504395
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.381905143737793
Accuracy: 0.71
NC1 Within Class Collapse: 3.991726875305176
NC2 Equinorm: Features: 0.11119966208934784, Weights: 0.04429325461387634
NC2 Equiangle: Features: 0.0989786187807719, Weights: 0.07520679632822673
NC3 Self-Duality: 0.2062487006187439
NC4 NCC Mismatch: 0.04849999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.265595436096191
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724981188774
Norm Quadratic Average: 3.995159864425659
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.320159912109375
Linear Weight Rank: 180
Intra Cos: 0.026299290359020233
Inter Cos: -0.004598523490130901
Norm Quadratic Average: 14.122879028320312
Nearest Class Center Accuracy: 0.59

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241997718811035
Linear Weight Rank: 180
Intra Cos: 0.026440957561135292
Inter Cos: -0.005264052655547857
Norm Quadratic Average: 14.092143058776855
Nearest Class Center Accuracy: 0.6235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.225028991699219
Linear Weight Rank: 180
Intra Cos: 0.027276303619146347
Inter Cos: -0.0058951545506715775
Norm Quadratic Average: 14.040342330932617
Nearest Class Center Accuracy: 0.665

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167222023010254
Linear Weight Rank: 180
Intra Cos: 0.031181883066892624
Inter Cos: -0.003815361764281988
Norm Quadratic Average: 13.956960678100586
Nearest Class Center Accuracy: 0.6735

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16329574584961
Linear Weight Rank: 180
Intra Cos: 0.034342993050813675
Inter Cos: -0.005178829655051231
Norm Quadratic Average: 13.893084526062012
Nearest Class Center Accuracy: 0.6865

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.12501335144043
Linear Weight Rank: 180
Intra Cos: 0.04431486502289772
Inter Cos: -0.006710210349410772
Norm Quadratic Average: 13.788982391357422
Nearest Class Center Accuracy: 0.7015

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.115549087524414
Linear Weight Rank: 180
Intra Cos: 0.06178044527769089
Inter Cos: -0.00521598756313324
Norm Quadratic Average: 13.586719512939453
Nearest Class Center Accuracy: 0.71

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.389242649078369
Linear Weight Rank: 4
Intra Cos: 0.11644876003265381
Inter Cos: -0.02060801163315773
Norm Quadratic Average: 13.266670227050781
Nearest Class Center Accuracy: 0.7135

Output Layer:
Intra Cos: 0.35554397106170654
Inter Cos: -0.08522734045982361
Norm Quadratic Average: 9.791242599487305
Nearest Class Center Accuracy: 0.71

