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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.752231478691101
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: 1.7448002099990845
Linear Weight Rank: 180
Intra Cos: 0.06281811743974686
Inter Cos: 0.0016557290218770504
Norm Quadratic Average: 1.0248613357543945
Nearest Class Center Accuracy: 0.799875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7395105361938477
Linear Weight Rank: 180
Intra Cos: 0.05007821321487427
Inter Cos: 0.01166984811425209
Norm Quadratic Average: 0.07985593378543854
Nearest Class Center Accuracy: 0.713375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.736853837966919
Linear Weight Rank: 179
Intra Cos: 0.062075283378362656
Inter Cos: 0.019125672057271004
Norm Quadratic Average: 0.007261763792484999
Nearest Class Center Accuracy: 0.6475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7418917417526245
Linear Weight Rank: 180
Intra Cos: 0.09419979155063629
Inter Cos: 0.035457298159599304
Norm Quadratic Average: 0.000693098409101367
Nearest Class Center Accuracy: 0.62575

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.25321200489997864
Linear Weight Rank: 4
Intra Cos: 0.11794903129339218
Inter Cos: 0.06041022390127182
Norm Quadratic Average: 6.494033732451499e-05
Nearest Class Center Accuracy: 0.616625

Output Layer:
Intra Cos: 0.2902105450630188
Inter Cos: 0.13448436558246613
Norm Quadratic Average: 2.4455227958242176e-06
Nearest Class Center Accuracy: 0.610125

Test Set:
Average Loss: 1.387150245666504
Accuracy: 0.257
NC1 Within Class Collapse: 49.74253845214844
NC2 Equinorm: Features: 0.12073944509029388, Weights: 0.03119681030511856
NC2 Equiangle: Features: 0.48025691509246826, Weights: 0.2693989674250285
NC3 Self-Duality: 1.396442174911499
NC4 NCC Mismatch: 0.7525

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.752231478691101
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: 1.7448002099990845
Linear Weight Rank: 180
Intra Cos: 0.06458725780248642
Inter Cos: 0.005251848138868809
Norm Quadratic Average: 1.0230358839035034
Nearest Class Center Accuracy: 0.806

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7395105361938477
Linear Weight Rank: 180
Intra Cos: 0.05136752501130104
Inter Cos: 0.014627210795879364
Norm Quadratic Average: 0.07970297336578369
Nearest Class Center Accuracy: 0.7115

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.736853837966919
Linear Weight Rank: 179
Intra Cos: 0.061583682894706726
Inter Cos: 0.023197809234261513
Norm Quadratic Average: 0.007254020310938358
Nearest Class Center Accuracy: 0.6455

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7418917417526245
Linear Weight Rank: 180
Intra Cos: 0.09565235674381256
Inter Cos: 0.04220256209373474
Norm Quadratic Average: 0.0006952898693270981
Nearest Class Center Accuracy: 0.627

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.25321200489997864
Linear Weight Rank: 4
Intra Cos: 0.12055710703134537
Inter Cos: 0.0735359862446785
Norm Quadratic Average: 6.51625232421793e-05
Nearest Class Center Accuracy: 0.6325

Output Layer:
Intra Cos: 0.2938575744628906
Inter Cos: 0.17444297671318054
Norm Quadratic Average: 2.4725984530959977e-06
Nearest Class Center Accuracy: 0.627

