Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.309885025024414
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 8.3784818649292
Linear Weight Rank: 179
Intra Cos: 0.11993531137704849
Inter Cos: 0.010951526463031769
Norm Quadratic Average: 5.100992679595947
Nearest Class Center Accuracy: 0.934375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.398859024047852
Linear Weight Rank: 179
Intra Cos: 0.45979243516921997
Inter Cos: 0.026022737845778465
Norm Quadratic Average: 4.004385948181152
Nearest Class Center Accuracy: 0.960875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35226058959961
Linear Weight Rank: 179
Intra Cos: 0.6467932462692261
Inter Cos: 0.053614191710948944
Norm Quadratic Average: 5.699493408203125
Nearest Class Center Accuracy: 0.95775

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.373992919921875
Linear Weight Rank: 179
Intra Cos: 0.6686936020851135
Inter Cos: 0.08186185359954834
Norm Quadratic Average: 8.762614250183105
Nearest Class Center Accuracy: 0.94975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.936234474182129
Linear Weight Rank: 4
Intra Cos: 0.6810041666030884
Inter Cos: 0.07940100878477097
Norm Quadratic Average: 13.052422523498535
Nearest Class Center Accuracy: 0.949625

Output Layer:
Intra Cos: 0.766343355178833
Inter Cos: 0.0728502944111824
Norm Quadratic Average: 23.74953842163086
Nearest Class Center Accuracy: 0.954875

Test Set:
Average Loss: 0.06399125432968139
Accuracy: 0.9725
NC1 Within Class Collapse: 1.33538818359375
NC2 Equinorm: Features: 0.06438428908586502, Weights: 0.04557755962014198
NC2 Equiangle: Features: 0.4289098580678304, Weights: 0.35547765096028644
NC3 Self-Duality: 0.14022503793239594
NC4 NCC Mismatch: 0.05600000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.309885025024414
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
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: 8.3784818649292
Linear Weight Rank: 179
Intra Cos: 0.11766867339611053
Inter Cos: 0.011477232910692692
Norm Quadratic Average: 5.103060245513916
Nearest Class Center Accuracy: 0.924

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.398859024047852
Linear Weight Rank: 179
Intra Cos: 0.4522181749343872
Inter Cos: 0.03540894389152527
Norm Quadratic Average: 4.045499801635742
Nearest Class Center Accuracy: 0.952

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35226058959961
Linear Weight Rank: 179
Intra Cos: 0.6455323696136475
Inter Cos: 0.08178994059562683
Norm Quadratic Average: 5.766331672668457
Nearest Class Center Accuracy: 0.9465

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.373992919921875
Linear Weight Rank: 179
Intra Cos: 0.673242449760437
Inter Cos: 0.10992394387722015
Norm Quadratic Average: 8.862859725952148
Nearest Class Center Accuracy: 0.939

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.936234474182129
Linear Weight Rank: 4
Intra Cos: 0.6672104597091675
Inter Cos: 0.10446950048208237
Norm Quadratic Average: 13.194574356079102
Nearest Class Center Accuracy: 0.9405

Output Layer:
Intra Cos: 0.7508242726325989
Inter Cos: 0.10114641487598419
Norm Quadratic Average: 23.9305477142334
Nearest Class Center Accuracy: 0.948

