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_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.284377098083496
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: 8.296769142150879
Linear Weight Rank: 180
Intra Cos: 0.12150562554597855
Inter Cos: 0.003051623236387968
Norm Quadratic Average: 5.001254558563232
Nearest Class Center Accuracy: 0.925125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.277826309204102
Linear Weight Rank: 179
Intra Cos: 0.470488965511322
Inter Cos: 0.023688308894634247
Norm Quadratic Average: 3.948657751083374
Nearest Class Center Accuracy: 0.976

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.276505470275879
Linear Weight Rank: 179
Intra Cos: 0.6731557846069336
Inter Cos: 0.04130256175994873
Norm Quadratic Average: 5.514357566833496
Nearest Class Center Accuracy: 0.98175

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31338119506836
Linear Weight Rank: 180
Intra Cos: 0.7279689311981201
Inter Cos: 0.03926738724112511
Norm Quadratic Average: 8.391324043273926
Nearest Class Center Accuracy: 0.98625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.950042963027954
Linear Weight Rank: 4
Intra Cos: 0.7413086295127869
Inter Cos: 0.052839379757642746
Norm Quadratic Average: 12.377504348754883
Nearest Class Center Accuracy: 0.98725

Output Layer:
Intra Cos: 0.8343413472175598
Inter Cos: 0.08398651331663132
Norm Quadratic Average: 22.787778854370117
Nearest Class Center Accuracy: 0.987

Test Set:
Average Loss: 0.06289697384834289
Accuracy: 0.973
NC1 Within Class Collapse: 1.300441026687622
NC2 Equinorm: Features: 0.04663565009832382, Weights: 0.038200557231903076
NC2 Equiangle: Features: 0.42975719769795734, Weights: 0.35888369878133136
NC3 Self-Duality: 0.1184600293636322
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.284377098083496
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: 8.296769142150879
Linear Weight Rank: 180
Intra Cos: 0.12453979253768921
Inter Cos: 0.008660634979605675
Norm Quadratic Average: 4.999663352966309
Nearest Class Center Accuracy: 0.932

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.277826309204102
Linear Weight Rank: 179
Intra Cos: 0.48192650079727173
Inter Cos: 0.042319416999816895
Norm Quadratic Average: 3.983224868774414
Nearest Class Center Accuracy: 0.961

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.276505470275879
Linear Weight Rank: 179
Intra Cos: 0.6800488233566284
Inter Cos: 0.06466101109981537
Norm Quadratic Average: 5.574032783508301
Nearest Class Center Accuracy: 0.963

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31338119506836
Linear Weight Rank: 180
Intra Cos: 0.7214872241020203
Inter Cos: 0.06023897975683212
Norm Quadratic Average: 8.472745895385742
Nearest Class Center Accuracy: 0.965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.950042963027954
Linear Weight Rank: 4
Intra Cos: 0.7275250554084778
Inter Cos: 0.07259576767683029
Norm Quadratic Average: 12.485339164733887
Nearest Class Center Accuracy: 0.9675

Output Layer:
Intra Cos: 0.8216401934623718
Inter Cos: 0.10623423755168915
Norm Quadratic Average: 22.944555282592773
Nearest Class Center Accuracy: 0.9685

