Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.052412033081055
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
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: 5.984365940093994
Linear Weight Rank: 179
Intra Cos: 0.03271016106009483
Inter Cos: -0.0017434114124625921
Norm Quadratic Average: 3.5832180976867676
Nearest Class Center Accuracy: 0.58925

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.97615385055542
Linear Weight Rank: 179
Intra Cos: 0.07213207334280014
Inter Cos: 0.026902947574853897
Norm Quadratic Average: 1.5040111541748047
Nearest Class Center Accuracy: 0.5645

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.998775482177734
Linear Weight Rank: 180
Intra Cos: 0.114671990275383
Inter Cos: 0.08563807606697083
Norm Quadratic Average: 1.0676324367523193
Nearest Class Center Accuracy: 0.5275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.9931817054748535
Linear Weight Rank: 180
Intra Cos: 0.12382784485816956
Inter Cos: 0.13360479474067688
Norm Quadratic Average: 1.022476315498352
Nearest Class Center Accuracy: 0.490375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7226990461349487
Linear Weight Rank: 4
Intra Cos: 0.11962670087814331
Inter Cos: 0.17639698088169098
Norm Quadratic Average: 1.1064403057098389
Nearest Class Center Accuracy: 0.46075

Output Layer:
Intra Cos: 0.09827382862567902
Inter Cos: 0.20760779082775116
Norm Quadratic Average: 1.4500166177749634
Nearest Class Center Accuracy: 0.4455

Test Set:
Average Loss: 1.1607417259216308
Accuracy: 0.453
NC1 Within Class Collapse: 11.212220191955566
NC2 Equinorm: Features: 0.5110213756561279, Weights: 0.22259190678596497
NC2 Equiangle: Features: 0.7874414126078287, Weights: 0.34823958079020184
NC3 Self-Duality: 0.3261556029319763
NC4 NCC Mismatch: 0.21150000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.052412033081055
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549724515527487
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: 5.984365940093994
Linear Weight Rank: 179
Intra Cos: 0.02917143888771534
Inter Cos: -0.0023284805938601494
Norm Quadratic Average: 3.5876941680908203
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.97615385055542
Linear Weight Rank: 179
Intra Cos: 0.057957764714956284
Inter Cos: 0.02125910297036171
Norm Quadratic Average: 1.5024882555007935
Nearest Class Center Accuracy: 0.549

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.998775482177734
Linear Weight Rank: 180
Intra Cos: 0.08423497527837753
Inter Cos: 0.08595777302980423
Norm Quadratic Average: 1.0623276233673096
Nearest Class Center Accuracy: 0.503

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.9931817054748535
Linear Weight Rank: 180
Intra Cos: 0.0863238126039505
Inter Cos: 0.14100795984268188
Norm Quadratic Average: 1.0149801969528198
Nearest Class Center Accuracy: 0.4675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7226990461349487
Linear Weight Rank: 4
Intra Cos: 0.07977066934108734
Inter Cos: 0.18786081671714783
Norm Quadratic Average: 1.0973420143127441
Nearest Class Center Accuracy: 0.442

Output Layer:
Intra Cos: 0.059360578656196594
Inter Cos: 0.21176035702228546
Norm Quadratic Average: 1.4366488456726074
Nearest Class Center Accuracy: 0.4165

