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_265358_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1451960802078247
Linear Weight Rank: 16
Intra Cos: 0.07988916337490082
Inter Cos: 0.0017584804445505142
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: 1.266776204109192
Linear Weight Rank: 171
Intra Cos: 0.2584415376186371
Inter Cos: 0.006786326877772808
Norm Quadratic Average: 1.8756895065307617
Nearest Class Center Accuracy: 0.97625

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.280773878097534
Linear Weight Rank: 4
Intra Cos: 0.9000115394592285
Inter Cos: -0.14502182602882385
Norm Quadratic Average: 2.6383895874023438
Nearest Class Center Accuracy: 0.998875

Output Layer:
Intra Cos: 0.9504052996635437
Inter Cos: -0.1070476770401001
Norm Quadratic Average: 3.451972484588623
Nearest Class Center Accuracy: 0.998875

Test Set:
Average Loss: 0.11851781511306762
Accuracy: 0.987
NC1 Within Class Collapse: 0.23372957110404968
NC2 Equinorm: Features: 0.010613867081701756, Weights: 0.019366122782230377
NC2 Equiangle: Features: 0.20500500996907553, Weights: 0.11070965727170308
NC3 Self-Duality: 0.028273828327655792
NC4 NCC Mismatch: 0.0024999999999999467

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1451960802078247
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 1.266776204109192
Linear Weight Rank: 171
Intra Cos: 0.2537403702735901
Inter Cos: 0.018774833530187607
Norm Quadratic Average: 1.8844953775405884
Nearest Class Center Accuracy: 0.9615

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.280773878097534
Linear Weight Rank: 4
Intra Cos: 0.8832207322120667
Inter Cos: -0.13278715312480927
Norm Quadratic Average: 2.6317389011383057
Nearest Class Center Accuracy: 0.9875

Output Layer:
Intra Cos: 0.9376633763313293
Inter Cos: -0.09263958036899567
Norm Quadratic Average: 3.4373879432678223
Nearest Class Center Accuracy: 0.986

