Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.053510665893555
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: 5.062260627746582
Linear Weight Rank: 179
Intra Cos: 0.023623643442988396
Inter Cos: -0.0025780959986150265
Norm Quadratic Average: 3.004277467727661
Nearest Class Center Accuracy: 0.56825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074313163757324
Linear Weight Rank: 179
Intra Cos: 0.01718313619494438
Inter Cos: -0.0008674846030771732
Norm Quadratic Average: 0.6562058925628662
Nearest Class Center Accuracy: 0.536875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.037932872772217
Linear Weight Rank: 179
Intra Cos: 0.014643671922385693
Inter Cos: 0.0015387189341709018
Norm Quadratic Average: 0.15108488500118256
Nearest Class Center Accuracy: 0.493375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043732643127441
Linear Weight Rank: 180
Intra Cos: 0.017981138080358505
Inter Cos: 0.004019997548311949
Norm Quadratic Average: 0.03868328407406807
Nearest Class Center Accuracy: 0.482625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057170391082764
Linear Weight Rank: 179
Intra Cos: 0.016964003443717957
Inter Cos: 0.0054311128333210945
Norm Quadratic Average: 0.009501774795353413
Nearest Class Center Accuracy: 0.463

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.04424524307251
Linear Weight Rank: 180
Intra Cos: 0.016839278861880302
Inter Cos: 0.0057714516296982765
Norm Quadratic Average: 0.0022835026029497385
Nearest Class Center Accuracy: 0.43775

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.040780067443848
Linear Weight Rank: 179
Intra Cos: 0.019430164247751236
Inter Cos: 0.010312170721590519
Norm Quadratic Average: 0.0006082658073864877
Nearest Class Center Accuracy: 0.427625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7426095604896545
Linear Weight Rank: 4
Intra Cos: 0.02165830321609974
Inter Cos: 0.013282432220876217
Norm Quadratic Average: 0.00015268090646713972
Nearest Class Center Accuracy: 0.425

Output Layer:
Intra Cos: 0.02549080178141594
Inter Cos: 0.01606123149394989
Norm Quadratic Average: 8.410412192461081e-06
Nearest Class Center Accuracy: 0.3485

Test Set:
Average Loss: 1.3866119346618653
Accuracy: 0.255
NC1 Within Class Collapse: 36.460533142089844
NC2 Equinorm: Features: 0.21790462732315063, Weights: 0.023971814662218094
NC2 Equiangle: Features: 0.2316163182258606, Weights: 0.34443171819051105
NC3 Self-Duality: 1.8187053203582764
NC4 NCC Mismatch: 0.7

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.053510665893555
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: 5.062260627746582
Linear Weight Rank: 179
Intra Cos: 0.023374412208795547
Inter Cos: -0.0016141148516908288
Norm Quadratic Average: 3.01241135597229
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.074313163757324
Linear Weight Rank: 179
Intra Cos: 0.016446765512228012
Inter Cos: -0.00036374820047058165
Norm Quadratic Average: 0.6565125584602356
Nearest Class Center Accuracy: 0.5465

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.037932872772217
Linear Weight Rank: 179
Intra Cos: 0.013464139774441719
Inter Cos: 0.00246239360421896
Norm Quadratic Average: 0.15102973580360413
Nearest Class Center Accuracy: 0.501

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.043732643127441
Linear Weight Rank: 180
Intra Cos: 0.016315724700689316
Inter Cos: 0.005624387878924608
Norm Quadratic Average: 0.038655124604701996
Nearest Class Center Accuracy: 0.4955

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.057170391082764
Linear Weight Rank: 179
Intra Cos: 0.017744675278663635
Inter Cos: 0.006937689613550901
Norm Quadratic Average: 0.009484212845563889
Nearest Class Center Accuracy: 0.486

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.04424524307251
Linear Weight Rank: 180
Intra Cos: 0.015951039269566536
Inter Cos: 0.00615726737305522
Norm Quadratic Average: 0.0022770806681364775
Nearest Class Center Accuracy: 0.4615

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.040780067443848
Linear Weight Rank: 179
Intra Cos: 0.01651414856314659
Inter Cos: 0.010680201463401318
Norm Quadratic Average: 0.0006050271331332624
Nearest Class Center Accuracy: 0.4325

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7426095604896545
Linear Weight Rank: 4
Intra Cos: 0.017651857808232307
Inter Cos: 0.013384690508246422
Norm Quadratic Average: 0.00015194382285699248
Nearest Class Center Accuracy: 0.4315

Output Layer:
Intra Cos: 0.021946245804429054
Inter Cos: 0.018769660964608192
Norm Quadratic Average: 8.358547347597778e-06
Nearest Class Center Accuracy: 0.3445

