Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.095621109008789
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.066330909729004
Linear Weight Rank: 180
Intra Cos: 0.07040900737047195
Inter Cos: 0.0025707536842674017
Norm Quadratic Average: 13.81202220916748
Nearest Class Center Accuracy: 0.86175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.014090538024902
Linear Weight Rank: 180
Intra Cos: 0.10846110433340073
Inter Cos: 0.004447087645530701
Norm Quadratic Average: 13.773104667663574
Nearest Class Center Accuracy: 0.916875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019356727600098
Linear Weight Rank: 180
Intra Cos: 0.1237136721611023
Inter Cos: -0.0006116142030805349
Norm Quadratic Average: 13.748130798339844
Nearest Class Center Accuracy: 0.9265

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9788432121276855
Linear Weight Rank: 180
Intra Cos: 0.15032480657100677
Inter Cos: -0.0002320677158422768
Norm Quadratic Average: 13.705473899841309
Nearest Class Center Accuracy: 0.971

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991673469543457
Linear Weight Rank: 180
Intra Cos: 0.1917678862810135
Inter Cos: 0.003021633718162775
Norm Quadratic Average: 13.7177095413208
Nearest Class Center Accuracy: 0.98875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965525150299072
Linear Weight Rank: 179
Intra Cos: 0.23099060356616974
Inter Cos: -0.02222800999879837
Norm Quadratic Average: 13.696065902709961
Nearest Class Center Accuracy: 0.998125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.961667060852051
Linear Weight Rank: 180
Intra Cos: 0.31636109948158264
Inter Cos: -0.03833511099219322
Norm Quadratic Average: 13.698667526245117
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0555310249328613
Linear Weight Rank: 4
Intra Cos: 0.47704949975013733
Inter Cos: -0.09207592904567719
Norm Quadratic Average: 13.83862018585205
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9593976140022278
Inter Cos: -0.10015729069709778
Norm Quadratic Average: 10.820907592773438
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.36579859161376954
Accuracy: 0.8815
NC1 Within Class Collapse: 1.1510140895843506
NC2 Equinorm: Features: 0.009025867097079754, Weights: 0.052347782999277115
NC2 Equiangle: Features: 0.23462347189585367, Weights: 0.12950929005940756
NC3 Self-Duality: 0.2327699214220047
NC4 NCC Mismatch: 0.020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.095621109008789
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: 8.066330909729004
Linear Weight Rank: 180
Intra Cos: 0.07152776420116425
Inter Cos: 0.0036699362099170685
Norm Quadratic Average: 13.787382125854492
Nearest Class Center Accuracy: 0.8645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.014090538024902
Linear Weight Rank: 180
Intra Cos: 0.10491524636745453
Inter Cos: 0.0017969930777326226
Norm Quadratic Average: 13.768829345703125
Nearest Class Center Accuracy: 0.906

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.019356727600098
Linear Weight Rank: 180
Intra Cos: 0.11711756885051727
Inter Cos: 0.006600667722523212
Norm Quadratic Average: 13.73879337310791
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9788432121276855
Linear Weight Rank: 180
Intra Cos: 0.13248328864574432
Inter Cos: -0.0021865235175937414
Norm Quadratic Average: 13.694953918457031
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.991673469543457
Linear Weight Rank: 180
Intra Cos: 0.15821139514446259
Inter Cos: 0.00011288910172879696
Norm Quadratic Average: 13.725658416748047
Nearest Class Center Accuracy: 0.8875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.965525150299072
Linear Weight Rank: 179
Intra Cos: 0.1810452938079834
Inter Cos: -0.006077555473893881
Norm Quadratic Average: 13.657920837402344
Nearest Class Center Accuracy: 0.884

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.961667060852051
Linear Weight Rank: 180
Intra Cos: 0.23045289516448975
Inter Cos: -0.016823098063468933
Norm Quadratic Average: 13.491960525512695
Nearest Class Center Accuracy: 0.898

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0555310249328613
Linear Weight Rank: 4
Intra Cos: 0.3345257043838501
Inter Cos: -0.03443662077188492
Norm Quadratic Average: 13.335600852966309
Nearest Class Center Accuracy: 0.8875

Output Layer:
Intra Cos: 0.7071709036827087
Inter Cos: -0.028804071247577667
Norm Quadratic Average: 10.035789489746094
Nearest Class Center Accuracy: 0.885

