Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.968009948730469
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.0017584878951311111
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: 7.923946857452393
Linear Weight Rank: 179
Intra Cos: 0.07502289116382599
Inter Cos: 0.005765859037637711
Norm Quadratic Average: 13.687570571899414
Nearest Class Center Accuracy: 0.879375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.89553689956665
Linear Weight Rank: 179
Intra Cos: 0.1133972629904747
Inter Cos: 0.00591396726667881
Norm Quadratic Average: 13.670504570007324
Nearest Class Center Accuracy: 0.92175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9339375495910645
Linear Weight Rank: 180
Intra Cos: 0.1547136902809143
Inter Cos: -0.0024906096514314413
Norm Quadratic Average: 13.654468536376953
Nearest Class Center Accuracy: 0.959625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890286445617676
Linear Weight Rank: 180
Intra Cos: 0.21782523393630981
Inter Cos: -0.0031126835383474827
Norm Quadratic Average: 13.620543479919434
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.403290271759033
Linear Weight Rank: 4
Intra Cos: 0.36722439527511597
Inter Cos: -0.04719075933098793
Norm Quadratic Average: 13.685218811035156
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9151748418807983
Inter Cos: -0.06302519887685776
Norm Quadratic Average: 11.883919715881348
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.25604184436798094
Accuracy: 0.9025
NC1 Within Class Collapse: 1.2933082580566406
NC2 Equinorm: Features: 0.007817987352609634, Weights: 0.01797405630350113
NC2 Equiangle: Features: 0.30562740564346313, Weights: 0.13893280426661173
NC3 Self-Duality: 0.21328003704547882
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.968009948730469
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.0033128932118415833
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: 7.923946857452393
Linear Weight Rank: 179
Intra Cos: 0.07333388924598694
Inter Cos: 0.006104656495153904
Norm Quadratic Average: 13.672731399536133
Nearest Class Center Accuracy: 0.8845

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.89553689956665
Linear Weight Rank: 179
Intra Cos: 0.10897547751665115
Inter Cos: 0.00556789617985487
Norm Quadratic Average: 13.678154945373535
Nearest Class Center Accuracy: 0.9045

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9339375495910645
Linear Weight Rank: 180
Intra Cos: 0.1400429755449295
Inter Cos: 0.005923291202634573
Norm Quadratic Average: 13.67986011505127
Nearest Class Center Accuracy: 0.9155

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890286445617676
Linear Weight Rank: 180
Intra Cos: 0.1874668002128601
Inter Cos: -0.0010708264308050275
Norm Quadratic Average: 13.581035614013672
Nearest Class Center Accuracy: 0.9255

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.403290271759033
Linear Weight Rank: 4
Intra Cos: 0.28909823298454285
Inter Cos: -0.01762774959206581
Norm Quadratic Average: 13.469152450561523
Nearest Class Center Accuracy: 0.9125

Output Layer:
Intra Cos: 0.7299500107765198
Inter Cos: -0.005079686641693115
Norm Quadratic Average: 11.482319831848145
Nearest Class Center Accuracy: 0.913

