Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1420347690582275
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 3.219750165939331
Linear Weight Rank: 180
Intra Cos: 0.09243673086166382
Inter Cos: 0.0071396897546947
Norm Quadratic Average: 5.409478664398193
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.183481216430664
Linear Weight Rank: 179
Intra Cos: 0.1411415934562683
Inter Cos: 0.009513805620372295
Norm Quadratic Average: 5.394180774688721
Nearest Class Center Accuracy: 0.930375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.129228353500366
Linear Weight Rank: 179
Intra Cos: 0.2091222107410431
Inter Cos: -0.0011120133567601442
Norm Quadratic Average: 5.35239839553833
Nearest Class Center Accuracy: 0.984

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1219613552093506
Linear Weight Rank: 179
Intra Cos: 0.4018775224685669
Inter Cos: -0.04377331584692001
Norm Quadratic Average: 5.336181163787842
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8373398780822754
Linear Weight Rank: 4
Intra Cos: 0.8080299496650696
Inter Cos: -0.18993444740772247
Norm Quadratic Average: 5.639065742492676
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9844324588775635
Inter Cos: -0.20107483863830566
Norm Quadratic Average: 5.249912738800049
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2243436098098755
Accuracy: 0.9095
NC1 Within Class Collapse: 0.7953240871429443
NC2 Equinorm: Features: 0.009235725738108158, Weights: 0.023181965574622154
NC2 Equiangle: Features: 0.1902743180592855, Weights: 0.036591485142707825
NC3 Self-Duality: 0.1120392233133316
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1420347690582275
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
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: 3.219750165939331
Linear Weight Rank: 180
Intra Cos: 0.09269508719444275
Inter Cos: 0.007955134846270084
Norm Quadratic Average: 5.4055047035217285
Nearest Class Center Accuracy: 0.8985

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.183481216430664
Linear Weight Rank: 179
Intra Cos: 0.13470610976219177
Inter Cos: 0.004044404253363609
Norm Quadratic Average: 5.411907196044922
Nearest Class Center Accuracy: 0.901

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.129228353500366
Linear Weight Rank: 179
Intra Cos: 0.1897292137145996
Inter Cos: 0.009410234168171883
Norm Quadratic Average: 5.365484714508057
Nearest Class Center Accuracy: 0.9215

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1219613552093506
Linear Weight Rank: 179
Intra Cos: 0.3321557343006134
Inter Cos: -0.02097429893910885
Norm Quadratic Average: 5.282876968383789
Nearest Class Center Accuracy: 0.9285

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8373398780822754
Linear Weight Rank: 4
Intra Cos: 0.6118791699409485
Inter Cos: -0.09270533919334412
Norm Quadratic Average: 5.340265274047852
Nearest Class Center Accuracy: 0.9145

Output Layer:
Intra Cos: 0.7850565314292908
Inter Cos: -0.0831979513168335
Norm Quadratic Average: 4.86370325088501
Nearest Class Center Accuracy: 0.916

