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_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.445195198059082
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: 8.456137657165527
Linear Weight Rank: 180
Intra Cos: 0.12023679912090302
Inter Cos: 0.003095632418990135
Norm Quadratic Average: 5.094262599945068
Nearest Class Center Accuracy: 0.924

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.436568260192871
Linear Weight Rank: 179
Intra Cos: 0.46472859382629395
Inter Cos: 0.023694049566984177
Norm Quadratic Average: 4.0387864112854
Nearest Class Center Accuracy: 0.97575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.434855461120605
Linear Weight Rank: 179
Intra Cos: 0.6709555983543396
Inter Cos: 0.04181060940027237
Norm Quadratic Average: 5.652430534362793
Nearest Class Center Accuracy: 0.982625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.47196102142334
Linear Weight Rank: 180
Intra Cos: 0.727563738822937
Inter Cos: 0.039487529546022415
Norm Quadratic Average: 8.652868270874023
Nearest Class Center Accuracy: 0.98675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9688644409179688
Linear Weight Rank: 4
Intra Cos: 0.7408148050308228
Inter Cos: 0.05275106802582741
Norm Quadratic Average: 12.838526725769043
Nearest Class Center Accuracy: 0.987625

Output Layer:
Intra Cos: 0.8344740867614746
Inter Cos: 0.083798348903656
Norm Quadratic Average: 23.734195709228516
Nearest Class Center Accuracy: 0.9875

Test Set:
Average Loss: 0.0624700745344162
Accuracy: 0.973
NC1 Within Class Collapse: 1.3014910221099854
NC2 Equinorm: Features: 0.046637896448373795, Weights: 0.03730886057019234
NC2 Equiangle: Features: 0.42962392171223956, Weights: 0.3571561972300212
NC3 Self-Duality: 0.12174700945615768
NC4 NCC Mismatch: 0.022499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.445195198059082
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: 8.456137657165527
Linear Weight Rank: 180
Intra Cos: 0.12327145040035248
Inter Cos: 0.00866534374654293
Norm Quadratic Average: 5.092458248138428
Nearest Class Center Accuracy: 0.931

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.436568260192871
Linear Weight Rank: 179
Intra Cos: 0.476183146238327
Inter Cos: 0.042144469916820526
Norm Quadratic Average: 4.073966026306152
Nearest Class Center Accuracy: 0.961

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.434855461120605
Linear Weight Rank: 179
Intra Cos: 0.6779069900512695
Inter Cos: 0.06518984586000443
Norm Quadratic Average: 5.713977813720703
Nearest Class Center Accuracy: 0.965

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.47196102142334
Linear Weight Rank: 180
Intra Cos: 0.721086859703064
Inter Cos: 0.06054016575217247
Norm Quadratic Average: 8.737333297729492
Nearest Class Center Accuracy: 0.967

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9688644409179688
Linear Weight Rank: 4
Intra Cos: 0.7270287275314331
Inter Cos: 0.07256944477558136
Norm Quadratic Average: 12.951066017150879
Nearest Class Center Accuracy: 0.9675

Output Layer:
Intra Cos: 0.8216715455055237
Inter Cos: 0.1060054823756218
Norm Quadratic Average: 23.8990535736084
Nearest Class Center Accuracy: 0.968

