Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.106975078582764
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.282496452331543
Linear Weight Rank: 180
Intra Cos: 0.025840889662504196
Inter Cos: -0.0028403846081346273
Norm Quadratic Average: 12.284717559814453
Nearest Class Center Accuracy: 0.586375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.23753023147583
Linear Weight Rank: 179
Intra Cos: 0.02750435099005699
Inter Cos: -0.002180923940613866
Norm Quadratic Average: 12.254728317260742
Nearest Class Center Accuracy: 0.629625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1457109451293945
Linear Weight Rank: 180
Intra Cos: 0.029923399910330772
Inter Cos: -0.004282959271222353
Norm Quadratic Average: 12.210884094238281
Nearest Class Center Accuracy: 0.685875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.117991924285889
Linear Weight Rank: 180
Intra Cos: 0.03833604231476784
Inter Cos: -0.008012751117348671
Norm Quadratic Average: 12.199773788452148
Nearest Class Center Accuracy: 0.775

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.110496520996094
Linear Weight Rank: 179
Intra Cos: 0.05360947176814079
Inter Cos: -0.011076119728386402
Norm Quadratic Average: 12.156259536743164
Nearest Class Center Accuracy: 0.891125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.074164390563965
Linear Weight Rank: 180
Intra Cos: 0.09089548885822296
Inter Cos: -0.020531946793198586
Norm Quadratic Average: 12.14667797088623
Nearest Class Center Accuracy: 0.981875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060298919677734
Linear Weight Rank: 179
Intra Cos: 0.18992365896701813
Inter Cos: -0.04973548650741577
Norm Quadratic Average: 12.150824546813965
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.187446355819702
Linear Weight Rank: 4
Intra Cos: 0.40970563888549805
Inter Cos: -0.13136343657970428
Norm Quadratic Average: 12.366580963134766
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9275130033493042
Inter Cos: -0.24168896675109863
Norm Quadratic Average: 9.98685073852539
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.2507148551940919
Accuracy: 0.698
NC1 Within Class Collapse: 3.9347169399261475
NC2 Equinorm: Features: 0.05361296236515045, Weights: 0.03417540714144707
NC2 Equiangle: Features: 0.07433077196280162, Weights: 0.07760712504386902
NC3 Self-Duality: 0.17974531650543213
NC4 NCC Mismatch: 0.02400000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.106975078582764
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
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: 7.282496452331543
Linear Weight Rank: 180
Intra Cos: 0.024418048560619354
Inter Cos: -0.0021114905830472708
Norm Quadratic Average: 12.339027404785156
Nearest Class Center Accuracy: 0.575

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.23753023147583
Linear Weight Rank: 179
Intra Cos: 0.024366021156311035
Inter Cos: -0.0010370634263381362
Norm Quadratic Average: 12.270880699157715
Nearest Class Center Accuracy: 0.623

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1457109451293945
Linear Weight Rank: 180
Intra Cos: 0.025210317224264145
Inter Cos: -0.003225668566301465
Norm Quadratic Average: 12.188779830932617
Nearest Class Center Accuracy: 0.6625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.117991924285889
Linear Weight Rank: 180
Intra Cos: 0.02690563164651394
Inter Cos: -0.0056245517916977406
Norm Quadratic Average: 12.11872386932373
Nearest Class Center Accuracy: 0.6725

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.110496520996094
Linear Weight Rank: 179
Intra Cos: 0.030580412596464157
Inter Cos: -0.0066345324739813805
Norm Quadratic Average: 11.970898628234863
Nearest Class Center Accuracy: 0.6915

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.074164390563965
Linear Weight Rank: 180
Intra Cos: 0.04015333950519562
Inter Cos: -0.005859312601387501
Norm Quadratic Average: 11.832795143127441
Nearest Class Center Accuracy: 0.7035

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.060298919677734
Linear Weight Rank: 179
Intra Cos: 0.06815971434116364
Inter Cos: -0.012535314075648785
Norm Quadratic Average: 11.563660621643066
Nearest Class Center Accuracy: 0.7

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.187446355819702
Linear Weight Rank: 4
Intra Cos: 0.13052186369895935
Inter Cos: -0.031397756189107895
Norm Quadratic Average: 11.221658706665039
Nearest Class Center Accuracy: 0.702

Output Layer:
Intra Cos: 0.35182321071624756
Inter Cos: -0.0813036635518074
Norm Quadratic Average: 8.286548614501953
Nearest Class Center Accuracy: 0.7005

