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_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.8264875411987305
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: 6.806170463562012
Linear Weight Rank: 179
Intra Cos: 0.13812533020973206
Inter Cos: 0.009944296441972256
Norm Quadratic Average: 4.1717424392700195
Nearest Class Center Accuracy: 0.93875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.798887729644775
Linear Weight Rank: 179
Intra Cos: 0.5448591113090515
Inter Cos: 0.049791119992733
Norm Quadratic Average: 3.2888786792755127
Nearest Class Center Accuracy: 0.959

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.825733661651611
Linear Weight Rank: 179
Intra Cos: 0.6819308400154114
Inter Cos: 0.08184502273797989
Norm Quadratic Average: 4.689685344696045
Nearest Class Center Accuracy: 0.950125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.81799840927124
Linear Weight Rank: 179
Intra Cos: 0.6878179907798767
Inter Cos: 0.09595127403736115
Norm Quadratic Average: 6.9472975730896
Nearest Class Center Accuracy: 0.945375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.802509069442749
Linear Weight Rank: 4
Intra Cos: 0.6632668375968933
Inter Cos: 0.09561029821634293
Norm Quadratic Average: 9.895234107971191
Nearest Class Center Accuracy: 0.941375

Output Layer:
Intra Cos: 0.775396466255188
Inter Cos: 0.08342218399047852
Norm Quadratic Average: 17.499980926513672
Nearest Class Center Accuracy: 0.955

Test Set:
Average Loss: 0.07335271954536438
Accuracy: 0.969
NC1 Within Class Collapse: 1.540729284286499
NC2 Equinorm: Features: 0.039112985134124756, Weights: 0.02559180185198784
NC2 Equiangle: Features: 0.4338836669921875, Weights: 0.39068420728047687
NC3 Self-Duality: 0.10388108342885971
NC4 NCC Mismatch: 0.0645

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.8264875411987305
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: 6.806170463562012
Linear Weight Rank: 179
Intra Cos: 0.1410060077905655
Inter Cos: 0.0041474150493741035
Norm Quadratic Average: 4.173041820526123
Nearest Class Center Accuracy: 0.933

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.798887729644775
Linear Weight Rank: 179
Intra Cos: 0.5360163450241089
Inter Cos: 0.041223857551813126
Norm Quadratic Average: 3.317235231399536
Nearest Class Center Accuracy: 0.9505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.825733661651611
Linear Weight Rank: 179
Intra Cos: 0.6675179600715637
Inter Cos: 0.07800807058811188
Norm Quadratic Average: 4.7337188720703125
Nearest Class Center Accuracy: 0.942

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.81799840927124
Linear Weight Rank: 179
Intra Cos: 0.6725673675537109
Inter Cos: 0.08014174550771713
Norm Quadratic Average: 7.008014678955078
Nearest Class Center Accuracy: 0.9375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.802509069442749
Linear Weight Rank: 4
Intra Cos: 0.6485272645950317
Inter Cos: 0.07974858582019806
Norm Quadratic Average: 9.978862762451172
Nearest Class Center Accuracy: 0.934

Output Layer:
Intra Cos: 0.7632135152816772
Inter Cos: 0.09170593321323395
Norm Quadratic Average: 17.615154266357422
Nearest Class Center Accuracy: 0.9445

