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_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7661083340644836
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: 1.0589814186096191
Linear Weight Rank: 168
Intra Cos: 0.33982089161872864
Inter Cos: 0.01552208885550499
Norm Quadratic Average: 1.3413537740707397
Nearest Class Center Accuracy: 0.9625

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3251399993896484
Linear Weight Rank: 4
Intra Cos: 0.9302304983139038
Inter Cos: -0.13429249823093414
Norm Quadratic Average: 2.3002967834472656
Nearest Class Center Accuracy: 0.99875

Output Layer:
Intra Cos: 0.9496039748191833
Inter Cos: -0.08553198724985123
Norm Quadratic Average: 3.143911838531494
Nearest Class Center Accuracy: 0.998625

Test Set:
Average Loss: 0.14695482110977173
Accuracy: 0.9885
NC1 Within Class Collapse: 0.23503383994102478
NC2 Equinorm: Features: 0.010723398067057133, Weights: 0.017537303268909454
NC2 Equiangle: Features: 0.22515167792638144, Weights: 0.11235323548316956
NC3 Self-Duality: 0.018312867730855942
NC4 NCC Mismatch: 0.0014999999999999458

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.7661083340644836
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: 1.0589814186096191
Linear Weight Rank: 168
Intra Cos: 0.33728092908859253
Inter Cos: 0.014146272093057632
Norm Quadratic Average: 1.3510032892227173
Nearest Class Center Accuracy: 0.958

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3251399993896484
Linear Weight Rank: 4
Intra Cos: 0.91791832447052
Inter Cos: -0.12001173198223114
Norm Quadratic Average: 2.2986958026885986
Nearest Class Center Accuracy: 0.989

Output Layer:
Intra Cos: 0.9399717450141907
Inter Cos: -0.07275493443012238
Norm Quadratic Average: 3.1385653018951416
Nearest Class Center Accuracy: 0.9895

