Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_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: 8.242950439453125
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 8.195323944091797
Linear Weight Rank: 179
Intra Cos: 0.12121816724538803
Inter Cos: 0.008568355813622475
Norm Quadratic Average: 4.990859031677246
Nearest Class Center Accuracy: 0.9275

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.182092666625977
Linear Weight Rank: 179
Intra Cos: 0.4880490303039551
Inter Cos: 0.039564330130815506
Norm Quadratic Average: 4.045794486999512
Nearest Class Center Accuracy: 0.960625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.211318969726562
Linear Weight Rank: 180
Intra Cos: 0.666638970375061
Inter Cos: 0.07302458584308624
Norm Quadratic Average: 5.941834926605225
Nearest Class Center Accuracy: 0.9515

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.195950508117676
Linear Weight Rank: 179
Intra Cos: 0.6875962018966675
Inter Cos: 0.08848650753498077
Norm Quadratic Average: 9.258118629455566
Nearest Class Center Accuracy: 0.9485

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9583005905151367
Linear Weight Rank: 4
Intra Cos: 0.6627699732780457
Inter Cos: 0.09272026270627975
Norm Quadratic Average: 13.870148658752441
Nearest Class Center Accuracy: 0.943625

Output Layer:
Intra Cos: 0.7753584384918213
Inter Cos: 0.08040010929107666
Norm Quadratic Average: 25.488529205322266
Nearest Class Center Accuracy: 0.957375

Test Set:
Average Loss: 0.07116801106929779
Accuracy: 0.9665
NC1 Within Class Collapse: 1.5927512645721436
NC2 Equinorm: Features: 0.03929172828793526, Weights: 0.02590283192694187
NC2 Equiangle: Features: 0.43268390496571857, Weights: 0.37707547346750897
NC3 Self-Duality: 0.12811152637004852
NC4 NCC Mismatch: 0.06299999999999994

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.242950439453125
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 8.195323944091797
Linear Weight Rank: 179
Intra Cos: 0.12410940229892731
Inter Cos: 0.0032001249492168427
Norm Quadratic Average: 4.99015474319458
Nearest Class Center Accuracy: 0.9225

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.182092666625977
Linear Weight Rank: 179
Intra Cos: 0.48277387022972107
Inter Cos: 0.03496314585208893
Norm Quadratic Average: 4.077037334442139
Nearest Class Center Accuracy: 0.95

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.211318969726562
Linear Weight Rank: 180
Intra Cos: 0.6521245837211609
Inter Cos: 0.0744921937584877
Norm Quadratic Average: 5.997247219085693
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.195950508117676
Linear Weight Rank: 179
Intra Cos: 0.6717586517333984
Inter Cos: 0.07642047107219696
Norm Quadratic Average: 9.33865737915039
Nearest Class Center Accuracy: 0.933

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9583005905151367
Linear Weight Rank: 4
Intra Cos: 0.6470805406570435
Inter Cos: 0.07615682482719421
Norm Quadratic Average: 13.986742973327637
Nearest Class Center Accuracy: 0.935

Output Layer:
Intra Cos: 0.7613833546638489
Inter Cos: 0.09265775978565216
Norm Quadratic Average: 25.658390045166016
Nearest Class Center Accuracy: 0.945

