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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.230403900146484
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: 8.299162864685059
Linear Weight Rank: 179
Intra Cos: 0.12063571810722351
Inter Cos: 0.010999752208590508
Norm Quadratic Average: 5.053980827331543
Nearest Class Center Accuracy: 0.934625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.319403648376465
Linear Weight Rank: 179
Intra Cos: 0.4628171920776367
Inter Cos: 0.026328561827540398
Norm Quadratic Average: 3.959261417388916
Nearest Class Center Accuracy: 0.960875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.273418426513672
Linear Weight Rank: 179
Intra Cos: 0.6479673385620117
Inter Cos: 0.053882159292697906
Norm Quadratic Average: 5.626539707183838
Nearest Class Center Accuracy: 0.9575

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.295207023620605
Linear Weight Rank: 179
Intra Cos: 0.6689686179161072
Inter Cos: 0.08210635185241699
Norm Quadratic Average: 8.625025749206543
Nearest Class Center Accuracy: 0.94975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9271743297576904
Linear Weight Rank: 4
Intra Cos: 0.6808757781982422
Inter Cos: 0.07983265072107315
Norm Quadratic Average: 12.813854217529297
Nearest Class Center Accuracy: 0.9495

Output Layer:
Intra Cos: 0.7659775614738464
Inter Cos: 0.07310858368873596
Norm Quadratic Average: 23.267074584960938
Nearest Class Center Accuracy: 0.955125

Test Set:
Average Loss: 0.06404443001747132
Accuracy: 0.9725
NC1 Within Class Collapse: 1.3345614671707153
NC2 Equinorm: Features: 0.06460471451282501, Weights: 0.04586510732769966
NC2 Equiangle: Features: 0.42897574106852215, Weights: 0.3564051389694214
NC3 Self-Duality: 0.1388155221939087
NC4 NCC Mismatch: 0.056499999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.230403900146484
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: 8.299162864685059
Linear Weight Rank: 179
Intra Cos: 0.11835413426160812
Inter Cos: 0.011514585465192795
Norm Quadratic Average: 5.056187152862549
Nearest Class Center Accuracy: 0.9245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.319403648376465
Linear Weight Rank: 179
Intra Cos: 0.4551725685596466
Inter Cos: 0.03560850769281387
Norm Quadratic Average: 4.000108242034912
Nearest Class Center Accuracy: 0.9525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.273418426513672
Linear Weight Rank: 179
Intra Cos: 0.6465647220611572
Inter Cos: 0.08199204504489899
Norm Quadratic Average: 5.6924896240234375
Nearest Class Center Accuracy: 0.9455

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.295207023620605
Linear Weight Rank: 179
Intra Cos: 0.6736183762550354
Inter Cos: 0.11008433997631073
Norm Quadratic Average: 8.723609924316406
Nearest Class Center Accuracy: 0.939

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9271743297576904
Linear Weight Rank: 4
Intra Cos: 0.6671010851860046
Inter Cos: 0.10481387376785278
Norm Quadratic Average: 12.953461647033691
Nearest Class Center Accuracy: 0.94

Output Layer:
Intra Cos: 0.7505507469177246
Inter Cos: 0.10128435492515564
Norm Quadratic Average: 23.444337844848633
Nearest Class Center Accuracy: 0.948

