Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1633944511413574
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: 1.3566662073135376
Linear Weight Rank: 179
Intra Cos: 0.12696033716201782
Inter Cos: 0.005993269849568605
Norm Quadratic Average: 1.8102140426635742
Nearest Class Center Accuracy: 0.933125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1982290744781494
Linear Weight Rank: 179
Intra Cos: 0.18446554243564606
Inter Cos: 0.008730754256248474
Norm Quadratic Average: 1.626476764678955
Nearest Class Center Accuracy: 0.97275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0777148008346558
Linear Weight Rank: 179
Intra Cos: 0.3673040568828583
Inter Cos: -0.007283452432602644
Norm Quadratic Average: 1.5650643110275269
Nearest Class Center Accuracy: 0.999875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0779155492782593
Linear Weight Rank: 178
Intra Cos: 0.7853058576583862
Inter Cos: -0.10729392617940903
Norm Quadratic Average: 1.6908761262893677
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1608994007110596
Linear Weight Rank: 4
Intra Cos: 0.9912809729576111
Inter Cos: -0.28086939454078674
Norm Quadratic Average: 2.7599542140960693
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9993889927864075
Inter Cos: -0.26315924525260925
Norm Quadratic Average: 3.4239540100097656
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.16659701204299926
Accuracy: 0.953
NC1 Within Class Collapse: 0.301874577999115
NC2 Equinorm: Features: 0.00784583855420351, Weights: 0.019057657569646835
NC2 Equiangle: Features: 0.09771473209063213, Weights: 0.023226882020632427
NC3 Self-Duality: 0.01181239727884531
NC4 NCC Mismatch: 0.0030000000000000027

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1633944511413574
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: 1.3566662073135376
Linear Weight Rank: 179
Intra Cos: 0.123382568359375
Inter Cos: 0.006904635578393936
Norm Quadratic Average: 1.8151682615280151
Nearest Class Center Accuracy: 0.9285

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.1982290744781494
Linear Weight Rank: 179
Intra Cos: 0.17350532114505768
Inter Cos: 0.007725580595433712
Norm Quadratic Average: 1.6331844329833984
Nearest Class Center Accuracy: 0.9375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0777148008346558
Linear Weight Rank: 179
Intra Cos: 0.3240223824977875
Inter Cos: -0.006368606351315975
Norm Quadratic Average: 1.5573415756225586
Nearest Class Center Accuracy: 0.9525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0779155492782593
Linear Weight Rank: 178
Intra Cos: 0.6873195767402649
Inter Cos: -0.056714318692684174
Norm Quadratic Average: 1.6403148174285889
Nearest Class Center Accuracy: 0.9575

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1608994007110596
Linear Weight Rank: 4
Intra Cos: 0.8745755553245544
Inter Cos: -0.18918941915035248
Norm Quadratic Average: 2.6088414192199707
Nearest Class Center Accuracy: 0.955

Output Layer:
Intra Cos: 0.8863620162010193
Inter Cos: -0.17445926368236542
Norm Quadratic Average: 3.2304868698120117
Nearest Class Center Accuracy: 0.955

