Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.890301704406738
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
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: 7.9402008056640625
Linear Weight Rank: 179
Intra Cos: 0.07914646714925766
Inter Cos: 0.0066169085912406445
Norm Quadratic Average: 13.688299179077148
Nearest Class Center Accuracy: 0.8695

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.937312602996826
Linear Weight Rank: 179
Intra Cos: 0.11309252679347992
Inter Cos: 0.008624940179288387
Norm Quadratic Average: 13.641357421875
Nearest Class Center Accuracy: 0.908625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868088722229004
Linear Weight Rank: 180
Intra Cos: 0.13711366057395935
Inter Cos: 0.0012299878289923072
Norm Quadratic Average: 13.600587844848633
Nearest Class Center Accuracy: 0.95425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87009859085083
Linear Weight Rank: 179
Intra Cos: 0.1991153508424759
Inter Cos: -0.009754407219588757
Norm Quadratic Average: 13.561956405639648
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.428471803665161
Linear Weight Rank: 4
Intra Cos: 0.3597091734409332
Inter Cos: -0.04531121626496315
Norm Quadratic Average: 13.703750610351562
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9216492176055908
Inter Cos: -0.08453689515590668
Norm Quadratic Average: 11.874199867248535
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2868252115249634
Accuracy: 0.8995
NC1 Within Class Collapse: 1.3011388778686523
NC2 Equinorm: Features: 0.01667609252035618, Weights: 0.025532852858304977
NC2 Equiangle: Features: 0.2994706630706787, Weights: 0.10895335674285889
NC3 Self-Duality: 0.2198665291070938
NC4 NCC Mismatch: 0.024499999999999966

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.890301704406738
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9402008056640625
Linear Weight Rank: 179
Intra Cos: 0.07983927428722382
Inter Cos: 0.00747779943048954
Norm Quadratic Average: 13.674700736999512
Nearest Class Center Accuracy: 0.873

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.937312602996826
Linear Weight Rank: 179
Intra Cos: 0.10848262161016464
Inter Cos: 0.0031339814886450768
Norm Quadratic Average: 13.682439804077148
Nearest Class Center Accuracy: 0.8925

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868088722229004
Linear Weight Rank: 180
Intra Cos: 0.1267739087343216
Inter Cos: 0.00864840392023325
Norm Quadratic Average: 13.641280174255371
Nearest Class Center Accuracy: 0.8915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87009859085083
Linear Weight Rank: 179
Intra Cos: 0.17119501531124115
Inter Cos: -0.008780768141150475
Norm Quadratic Average: 13.534516334533691
Nearest Class Center Accuracy: 0.905

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.428471803665161
Linear Weight Rank: 4
Intra Cos: 0.27828872203826904
Inter Cos: -0.028485698625445366
Norm Quadratic Average: 13.5636568069458
Nearest Class Center Accuracy: 0.9075

Output Layer:
Intra Cos: 0.7410264015197754
Inter Cos: -0.034603141248226166
Norm Quadratic Average: 11.525700569152832
Nearest Class Center Accuracy: 0.8985

