Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.145453453063965
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 8.228605270385742
Linear Weight Rank: 179
Intra Cos: 0.07620421797037125
Inter Cos: 0.005528328940272331
Norm Quadratic Average: 14.147005081176758
Nearest Class Center Accuracy: 0.867125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.215325355529785
Linear Weight Rank: 179
Intra Cos: 0.10318612307310104
Inter Cos: 0.009476745501160622
Norm Quadratic Average: 14.085659980773926
Nearest Class Center Accuracy: 0.912125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138652801513672
Linear Weight Rank: 179
Intra Cos: 0.12637998163700104
Inter Cos: 0.005308499559760094
Norm Quadratic Average: 14.046485900878906
Nearest Class Center Accuracy: 0.943875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133757591247559
Linear Weight Rank: 179
Intra Cos: 0.15221141278743744
Inter Cos: 0.0008958769030869007
Norm Quadratic Average: 13.949172019958496
Nearest Class Center Accuracy: 0.96825

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146059036254883
Linear Weight Rank: 179
Intra Cos: 0.18152299523353577
Inter Cos: 0.003995519131422043
Norm Quadratic Average: 13.9396333694458
Nearest Class Center Accuracy: 0.99075

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120281219482422
Linear Weight Rank: 180
Intra Cos: 0.2383338361978531
Inter Cos: -0.0018588672392070293
Norm Quadratic Average: 13.911602973937988
Nearest Class Center Accuracy: 0.998625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11164665222168
Linear Weight Rank: 179
Intra Cos: 0.32808437943458557
Inter Cos: -0.04338224604725838
Norm Quadratic Average: 13.936614036560059
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.079932928085327
Linear Weight Rank: 4
Intra Cos: 0.49268510937690735
Inter Cos: -0.09125980734825134
Norm Quadratic Average: 14.095565795898438
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9545165300369263
Inter Cos: -0.1447484940290451
Norm Quadratic Average: 11.139508247375488
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.4080084438323975
Accuracy: 0.8825
NC1 Within Class Collapse: 1.2223780155181885
NC2 Equinorm: Features: 0.025302965193986893, Weights: 0.03886369243264198
NC2 Equiangle: Features: 0.22683000564575195, Weights: 0.14011073112487793
NC3 Self-Duality: 0.24143381416797638
NC4 NCC Mismatch: 0.011499999999999955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.145453453063965
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.228605270385742
Linear Weight Rank: 179
Intra Cos: 0.0761537179350853
Inter Cos: 0.006692289840430021
Norm Quadratic Average: 14.127470970153809
Nearest Class Center Accuracy: 0.876

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.215325355529785
Linear Weight Rank: 179
Intra Cos: 0.09862816333770752
Inter Cos: 0.003573609283193946
Norm Quadratic Average: 14.118605613708496
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.138652801513672
Linear Weight Rank: 179
Intra Cos: 0.11766640096902847
Inter Cos: 0.003029069397598505
Norm Quadratic Average: 14.063844680786133
Nearest Class Center Accuracy: 0.894

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.133757591247559
Linear Weight Rank: 179
Intra Cos: 0.13770435750484467
Inter Cos: -0.002611939562484622
Norm Quadratic Average: 13.970675468444824
Nearest Class Center Accuracy: 0.8945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.146059036254883
Linear Weight Rank: 179
Intra Cos: 0.15439365804195404
Inter Cos: 0.000446759513579309
Norm Quadratic Average: 13.9176025390625
Nearest Class Center Accuracy: 0.898

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120281219482422
Linear Weight Rank: 180
Intra Cos: 0.19201602041721344
Inter Cos: -0.0009009439963847399
Norm Quadratic Average: 13.796951293945312
Nearest Class Center Accuracy: 0.899

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11164665222168
Linear Weight Rank: 179
Intra Cos: 0.23489172756671906
Inter Cos: -0.013778796419501305
Norm Quadratic Average: 13.695137023925781
Nearest Class Center Accuracy: 0.8925

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.079932928085327
Linear Weight Rank: 4
Intra Cos: 0.327379047870636
Inter Cos: -0.044449858367443085
Norm Quadratic Average: 13.594242095947266
Nearest Class Center Accuracy: 0.885

Output Layer:
Intra Cos: 0.6938514113426208
Inter Cos: -0.047146089375019073
Norm Quadratic Average: 10.366354942321777
Nearest Class Center Accuracy: 0.881

