Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_979323_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.580987274646759
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6445632576942444
Linear Weight Rank: 175
Intra Cos: 0.17141811549663544
Inter Cos: 0.04179587960243225
Norm Quadratic Average: 0.551540732383728
Nearest Class Center Accuracy: 0.774375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4813119173049927
Linear Weight Rank: 177
Intra Cos: 0.46069034934043884
Inter Cos: 0.02473408728837967
Norm Quadratic Average: 0.20306243002414703
Nearest Class Center Accuracy: 0.999875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4604862928390503
Linear Weight Rank: 176
Intra Cos: 0.9516052603721619
Inter Cos: 0.033489059656858444
Norm Quadratic Average: 0.27295881509780884
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6210771799087524
Linear Weight Rank: 175
Intra Cos: 0.988948404788971
Inter Cos: -0.1590895652770996
Norm Quadratic Average: 0.49508053064346313
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.219938278198242
Linear Weight Rank: 3
Intra Cos: 0.9974546432495117
Inter Cos: -0.27974212169647217
Norm Quadratic Average: 2.1577885150909424
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9979668259620667
Inter Cos: -0.2505720555782318
Norm Quadratic Average: 2.7725260257720947
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.1492215576171875
Accuracy: 0.987
NC1 Within Class Collapse: 0.09325111657381058
NC2 Equinorm: Features: 0.004080750979483128, Weights: 0.018986929208040237
NC2 Equiangle: Features: 0.06376377244790395, Weights: 0.031562551856040955
NC3 Self-Duality: 0.0019554849714040756
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.580987274646759
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6445632576942444
Linear Weight Rank: 175
Intra Cos: 0.16839389503002167
Inter Cos: 0.04055164009332657
Norm Quadratic Average: 0.5522611737251282
Nearest Class Center Accuracy: 0.7895

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4813119173049927
Linear Weight Rank: 177
Intra Cos: 0.4579631984233856
Inter Cos: 0.03326384723186493
Norm Quadratic Average: 0.2021569013595581
Nearest Class Center Accuracy: 0.983

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.4604862928390503
Linear Weight Rank: 176
Intra Cos: 0.9198922514915466
Inter Cos: 0.04649268090724945
Norm Quadratic Average: 0.2716340720653534
Nearest Class Center Accuracy: 0.986

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6210771799087524
Linear Weight Rank: 175
Intra Cos: 0.9609879851341248
Inter Cos: -0.13951347768306732
Norm Quadratic Average: 0.4895366132259369
Nearest Class Center Accuracy: 0.9865

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.219938278198242
Linear Weight Rank: 3
Intra Cos: 0.9639027118682861
Inter Cos: -0.24953137338161469
Norm Quadratic Average: 2.1278798580169678
Nearest Class Center Accuracy: 0.9865

Output Layer:
Intra Cos: 0.9634694457054138
Inter Cos: -0.2223109006881714
Norm Quadratic Average: 2.7322964668273926
Nearest Class Center Accuracy: 0.9865

