Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_3_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: 7.814971446990967
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.791817665100098
Linear Weight Rank: 180
Intra Cos: 0.09552814811468124
Inter Cos: 0.0027248559053987265
Norm Quadratic Average: 13.399847984313965
Nearest Class Center Accuracy: 0.904375

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.126375675201416
Linear Weight Rank: 4
Intra Cos: 0.25745511054992676
Inter Cos: -0.007318612653762102
Norm Quadratic Average: 13.693445205688477
Nearest Class Center Accuracy: 0.995375

Output Layer:
Intra Cos: 0.828891932964325
Inter Cos: 0.01206168718636036
Norm Quadratic Average: 16.290058135986328
Nearest Class Center Accuracy: 0.997375

Test Set:
Average Loss: 0.10767951965332032
Accuracy: 0.9565
NC1 Within Class Collapse: 1.8786630630493164
NC2 Equinorm: Features: 0.05386005714535713, Weights: 0.015041060745716095
NC2 Equiangle: Features: 0.37693222363789874, Weights: 0.26323699951171875
NC3 Self-Duality: 0.16370975971221924
NC4 NCC Mismatch: 0.040000000000000036

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.814971446990967
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128950744867325
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: 7.791817665100098
Linear Weight Rank: 180
Intra Cos: 0.0977901965379715
Inter Cos: 0.0031473315320909023
Norm Quadratic Average: 13.404796600341797
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.126375675201416
Linear Weight Rank: 4
Intra Cos: 0.24333886802196503
Inter Cos: 0.0037212329916656017
Norm Quadratic Average: 13.726410865783691
Nearest Class Center Accuracy: 0.9545

Output Layer:
Intra Cos: 0.7918477058410645
Inter Cos: 0.044785723090171814
Norm Quadratic Average: 16.408720016479492
Nearest Class Center Accuracy: 0.9575

