Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9004034996032715
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
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: 7.839031219482422
Linear Weight Rank: 180
Intra Cos: 0.0756492018699646
Inter Cos: 0.0027101736050099134
Norm Quadratic Average: 13.487082481384277
Nearest Class Center Accuracy: 0.87175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798184871673584
Linear Weight Rank: 180
Intra Cos: 0.11476211249828339
Inter Cos: 0.0025185905396938324
Norm Quadratic Average: 13.461821556091309
Nearest Class Center Accuracy: 0.92425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.809449672698975
Linear Weight Rank: 180
Intra Cos: 0.14185164868831635
Inter Cos: -0.0016843019984662533
Norm Quadratic Average: 13.45658016204834
Nearest Class Center Accuracy: 0.958375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7754340171813965
Linear Weight Rank: 180
Intra Cos: 0.2043621838092804
Inter Cos: -0.012570975348353386
Norm Quadratic Average: 13.414491653442383
Nearest Class Center Accuracy: 0.99725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3619577884674072
Linear Weight Rank: 4
Intra Cos: 0.37494799494743347
Inter Cos: -0.04966329410672188
Norm Quadratic Average: 13.531559944152832
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9198043346405029
Inter Cos: -0.08521037548780441
Norm Quadratic Average: 11.660311698913574
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2815890955924988
Accuracy: 0.897
NC1 Within Class Collapse: 1.2797179222106934
NC2 Equinorm: Features: 0.018265288323163986, Weights: 0.02969176508486271
NC2 Equiangle: Features: 0.2857431173324585, Weights: 0.1160079042116801
NC3 Self-Duality: 0.2102547436952591
NC4 NCC Mismatch: 0.02200000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9004034996032715
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
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: 7.839031219482422
Linear Weight Rank: 180
Intra Cos: 0.07659846544265747
Inter Cos: 0.0031179189682006836
Norm Quadratic Average: 13.462798118591309
Nearest Class Center Accuracy: 0.87

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798184871673584
Linear Weight Rank: 180
Intra Cos: 0.1113249734044075
Inter Cos: -0.0014093422796577215
Norm Quadratic Average: 13.492987632751465
Nearest Class Center Accuracy: 0.91

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.809449672698975
Linear Weight Rank: 180
Intra Cos: 0.12972411513328552
Inter Cos: 0.003897431306540966
Norm Quadratic Average: 13.512808799743652
Nearest Class Center Accuracy: 0.894

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7754340171813965
Linear Weight Rank: 180
Intra Cos: 0.173654243350029
Inter Cos: -0.000596530269831419
Norm Quadratic Average: 13.459518432617188
Nearest Class Center Accuracy: 0.9125

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3619577884674072
Linear Weight Rank: 4
Intra Cos: 0.284147173166275
Inter Cos: -0.029578663408756256
Norm Quadratic Average: 13.434643745422363
Nearest Class Center Accuracy: 0.903

Output Layer:
Intra Cos: 0.7425370812416077
Inter Cos: -0.036490924656391144
Norm Quadratic Average: 11.33658218383789
Nearest Class Center Accuracy: 0.902

