Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.840851306915283
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.842404365539551
Linear Weight Rank: 180
Intra Cos: 0.07362505048513412
Inter Cos: 0.0013016709126532078
Norm Quadratic Average: 13.597167015075684
Nearest Class Center Accuracy: 0.862

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795339584350586
Linear Weight Rank: 179
Intra Cos: 0.11547093093395233
Inter Cos: 0.001061275484971702
Norm Quadratic Average: 13.567564010620117
Nearest Class Center Accuracy: 0.92725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771836757659912
Linear Weight Rank: 180
Intra Cos: 0.15833069384098053
Inter Cos: 0.00899394229054451
Norm Quadratic Average: 13.49015998840332
Nearest Class Center Accuracy: 0.96675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.788437366485596
Linear Weight Rank: 180
Intra Cos: 0.22000369429588318
Inter Cos: 0.012481953017413616
Norm Quadratic Average: 13.436935424804688
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3972654342651367
Linear Weight Rank: 4
Intra Cos: 0.3759847581386566
Inter Cos: -0.030976077541708946
Norm Quadratic Average: 13.518327713012695
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9238879680633545
Inter Cos: -0.051581867039203644
Norm Quadratic Average: 11.679296493530273
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2737189970016479
Accuracy: 0.9
NC1 Within Class Collapse: 1.3665963411331177
NC2 Equinorm: Features: 0.026234367862343788, Weights: 0.017197536304593086
NC2 Equiangle: Features: 0.30763012170791626, Weights: 0.11646113793055217
NC3 Self-Duality: 0.21631677448749542
NC4 NCC Mismatch: 0.025000000000000022

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.840851306915283
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 7.842404365539551
Linear Weight Rank: 180
Intra Cos: 0.07543117552995682
Inter Cos: 0.0045704650692641735
Norm Quadratic Average: 13.584273338317871
Nearest Class Center Accuracy: 0.864

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795339584350586
Linear Weight Rank: 179
Intra Cos: 0.11429725587368011
Inter Cos: 0.005230514332652092
Norm Quadratic Average: 13.565908432006836
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771836757659912
Linear Weight Rank: 180
Intra Cos: 0.1490919291973114
Inter Cos: 0.014179721474647522
Norm Quadratic Average: 13.497124671936035
Nearest Class Center Accuracy: 0.914

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.788437366485596
Linear Weight Rank: 180
Intra Cos: 0.18880844116210938
Inter Cos: 0.01591462641954422
Norm Quadratic Average: 13.432812690734863
Nearest Class Center Accuracy: 0.9045

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3972654342651367
Linear Weight Rank: 4
Intra Cos: 0.28338301181793213
Inter Cos: -0.0071435486897826195
Norm Quadratic Average: 13.343132019042969
Nearest Class Center Accuracy: 0.9065

Output Layer:
Intra Cos: 0.7453985214233398
Inter Cos: 0.011643048375844955
Norm Quadratic Average: 11.308042526245117
Nearest Class Center Accuracy: 0.9065

