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_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.969961643218994
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: 2.9327895641326904
Linear Weight Rank: 179
Intra Cos: 0.06243592128157616
Inter Cos: 0.005590686574578285
Norm Quadratic Average: 1.7459717988967896
Nearest Class Center Accuracy: 0.809875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9264142513275146
Linear Weight Rank: 179
Intra Cos: 0.10692460089921951
Inter Cos: 0.014943985268473625
Norm Quadratic Average: 0.2783944606781006
Nearest Class Center Accuracy: 0.747875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.93536114692688
Linear Weight Rank: 180
Intra Cos: 0.19622933864593506
Inter Cos: 0.038905370980501175
Norm Quadratic Average: 0.055709339678287506
Nearest Class Center Accuracy: 0.718625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9252517223358154
Linear Weight Rank: 180
Intra Cos: 0.2816747725009918
Inter Cos: 0.06667283177375793
Norm Quadratic Average: 0.013555222190916538
Nearest Class Center Accuracy: 0.703875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4994879364967346
Linear Weight Rank: 4
Intra Cos: 0.3511701226234436
Inter Cos: 0.07202333956956863
Norm Quadratic Average: 0.003692832076922059
Nearest Class Center Accuracy: 0.69925

Output Layer:
Intra Cos: 0.35390108823776245
Inter Cos: 0.07080186903476715
Norm Quadratic Average: 0.0008868415607139468
Nearest Class Center Accuracy: 0.68175

Test Set:
Average Loss: 1.3868297729492187
Accuracy: 0.257
NC1 Within Class Collapse: 12.899772644042969
NC2 Equinorm: Features: 0.348656564950943, Weights: 0.06280352175235748
NC2 Equiangle: Features: 0.4432487487792969, Weights: 0.2284108599026998
NC3 Self-Duality: 0.7087668180465698
NC4 NCC Mismatch: 0.8015

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.969961643218994
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: 2.9327895641326904
Linear Weight Rank: 179
Intra Cos: 0.06416343152523041
Inter Cos: 0.002891410142183304
Norm Quadratic Average: 1.7428606748580933
Nearest Class Center Accuracy: 0.8155

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9264142513275146
Linear Weight Rank: 179
Intra Cos: 0.10671698302030563
Inter Cos: 0.013063935562968254
Norm Quadratic Average: 0.2782174050807953
Nearest Class Center Accuracy: 0.7645

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.93536114692688
Linear Weight Rank: 180
Intra Cos: 0.1983124017715454
Inter Cos: 0.033207572996616364
Norm Quadratic Average: 0.05586004629731178
Nearest Class Center Accuracy: 0.7325

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9252517223358154
Linear Weight Rank: 180
Intra Cos: 0.28701266646385193
Inter Cos: 0.059476759284734726
Norm Quadratic Average: 0.013618779368698597
Nearest Class Center Accuracy: 0.7165

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.4994879364967346
Linear Weight Rank: 4
Intra Cos: 0.3587767779827118
Inter Cos: 0.06303882598876953
Norm Quadratic Average: 0.003714790102094412
Nearest Class Center Accuracy: 0.7085

Output Layer:
Intra Cos: 0.36094430088996887
Inter Cos: 0.09622659534215927
Norm Quadratic Average: 0.0008942369604483247
Nearest Class Center Accuracy: 0.693

