Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.364480972290039
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 8.376008987426758
Linear Weight Rank: 180
Intra Cos: 0.12087675929069519
Inter Cos: 0.003059716895222664
Norm Quadratic Average: 5.047530174255371
Nearest Class Center Accuracy: 0.92475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35677719116211
Linear Weight Rank: 179
Intra Cos: 0.4676528871059418
Inter Cos: 0.023682622238993645
Norm Quadratic Average: 3.993438243865967
Nearest Class Center Accuracy: 0.975875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.355304718017578
Linear Weight Rank: 179
Intra Cos: 0.6720464825630188
Inter Cos: 0.04154294729232788
Norm Quadratic Average: 5.582009315490723
Nearest Class Center Accuracy: 0.98225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392281532287598
Linear Weight Rank: 180
Intra Cos: 0.7278478145599365
Inter Cos: 0.039428990334272385
Norm Quadratic Average: 8.518599510192871
Nearest Class Center Accuracy: 0.98675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.959376811981201
Linear Weight Rank: 4
Intra Cos: 0.7409682273864746
Inter Cos: 0.05288856104016304
Norm Quadratic Average: 12.601439476013184
Nearest Class Center Accuracy: 0.987625

Output Layer:
Intra Cos: 0.8343525528907776
Inter Cos: 0.0840296745300293
Norm Quadratic Average: 23.247352600097656
Nearest Class Center Accuracy: 0.98725

Test Set:
Average Loss: 0.06271462345123291
Accuracy: 0.973
NC1 Within Class Collapse: 1.3002471923828125
NC2 Equinorm: Features: 0.04663851484656334, Weights: 0.03772994503378868
NC2 Equiangle: Features: 0.4296888510386149, Weights: 0.3580292860666911
NC3 Self-Duality: 0.12010705471038818
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.364480972290039
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 8.376008987426758
Linear Weight Rank: 180
Intra Cos: 0.12392203509807587
Inter Cos: 0.008647242560982704
Norm Quadratic Average: 5.045826435089111
Nearest Class Center Accuracy: 0.9315

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.35677719116211
Linear Weight Rank: 179
Intra Cos: 0.4791018068790436
Inter Cos: 0.04222765192389488
Norm Quadratic Average: 4.028316020965576
Nearest Class Center Accuracy: 0.9605

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.355304718017578
Linear Weight Rank: 179
Intra Cos: 0.6789866089820862
Inter Cos: 0.06491371244192123
Norm Quadratic Average: 5.64260196685791
Nearest Class Center Accuracy: 0.964

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.392281532287598
Linear Weight Rank: 180
Intra Cos: 0.7214077115058899
Inter Cos: 0.06043785810470581
Norm Quadratic Average: 8.601563453674316
Nearest Class Center Accuracy: 0.966

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.959376811981201
Linear Weight Rank: 4
Intra Cos: 0.7271886467933655
Inter Cos: 0.07267413288354874
Norm Quadratic Average: 12.711678504943848
Nearest Class Center Accuracy: 0.9675

Output Layer:
Intra Cos: 0.8215875029563904
Inter Cos: 0.10627622902393341
Norm Quadratic Average: 23.408241271972656
Nearest Class Center Accuracy: 0.968

