Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_3_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: 2.9763107299804688
Linear Weight Rank: 16
Intra Cos: 0.07988916337490082
Inter Cos: 0.0017584804445505142
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: 2.9366424083709717
Linear Weight Rank: 178
Intra Cos: 0.15277345478534698
Inter Cos: 0.0010490103159099817
Norm Quadratic Average: 4.979560852050781
Nearest Class Center Accuracy: 0.94925

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.338552713394165
Linear Weight Rank: 4
Intra Cos: 0.5090205669403076
Inter Cos: -0.039729125797748566
Norm Quadratic Average: 5.472977638244629
Nearest Class Center Accuracy: 0.997875

Output Layer:
Intra Cos: 0.8985824584960938
Inter Cos: -0.018327169120311737
Norm Quadratic Average: 5.868881702423096
Nearest Class Center Accuracy: 0.998125

Test Set:
Average Loss: 0.10174115133285523
Accuracy: 0.977
NC1 Within Class Collapse: 0.7445957660675049
NC2 Equinorm: Features: 0.016393134370446205, Weights: 0.033438000828027725
NC2 Equiangle: Features: 0.2888627847035726, Weights: 0.20062434673309326
NC3 Self-Duality: 0.11278621107339859
NC4 NCC Mismatch: 0.009499999999999953

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.9763107299804688
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 2.9366424083709717
Linear Weight Rank: 178
Intra Cos: 0.14940819144248962
Inter Cos: 0.00787963718175888
Norm Quadratic Average: 4.984216690063477
Nearest Class Center Accuracy: 0.9415

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.338552713394165
Linear Weight Rank: 4
Intra Cos: 0.4951701760292053
Inter Cos: -0.02682482823729515
Norm Quadratic Average: 5.477300643920898
Nearest Class Center Accuracy: 0.9735

Output Layer:
Intra Cos: 0.8667996525764465
Inter Cos: -0.0005342327058315277
Norm Quadratic Average: 5.845268249511719
Nearest Class Center Accuracy: 0.9755

