Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.1991682052612305
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2743353843688965
Linear Weight Rank: 180
Intra Cos: 0.012228550389409065
Inter Cos: 0.003108783159404993
Norm Quadratic Average: 12.239426612854004
Nearest Class Center Accuracy: 0.455625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1954026222229
Linear Weight Rank: 180
Intra Cos: 0.011721058748662472
Inter Cos: 0.0028458512388169765
Norm Quadratic Average: 12.23278522491455
Nearest Class Center Accuracy: 0.49375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.152604103088379
Linear Weight Rank: 180
Intra Cos: 0.012953756377100945
Inter Cos: 0.002675501862540841
Norm Quadratic Average: 12.194742202758789
Nearest Class Center Accuracy: 0.56925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.078188896179199
Linear Weight Rank: 179
Intra Cos: 0.02697618678212166
Inter Cos: -0.0013587778666988015
Norm Quadratic Average: 12.183011054992676
Nearest Class Center Accuracy: 0.8325

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.062091827392578
Linear Weight Rank: 4
Intra Cos: 0.13872689008712769
Inter Cos: -0.03607004135847092
Norm Quadratic Average: 12.518513679504395
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8766574859619141
Inter Cos: -0.21643780171871185
Norm Quadratic Average: 8.992679595947266
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.1759184646606444
Accuracy: 0.525
NC1 Within Class Collapse: 12.82119083404541
NC2 Equinorm: Features: 0.053265709429979324, Weights: 0.007363133132457733
NC2 Equiangle: Features: 0.2577734589576721, Weights: 0.031583502888679504
NC3 Self-Duality: 0.2870364487171173
NC4 NCC Mismatch: 0.11050000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.1991682052612305
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2743353843688965
Linear Weight Rank: 180
Intra Cos: 0.013272451236844063
Inter Cos: 0.00313667138107121
Norm Quadratic Average: 12.220020294189453
Nearest Class Center Accuracy: 0.4685

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.1954026222229
Linear Weight Rank: 180
Intra Cos: 0.01154699083417654
Inter Cos: 0.0018975215498358011
Norm Quadratic Average: 12.201139450073242
Nearest Class Center Accuracy: 0.496

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.152604103088379
Linear Weight Rank: 180
Intra Cos: 0.00870687235146761
Inter Cos: 0.0023508768063038588
Norm Quadratic Average: 12.181557655334473
Nearest Class Center Accuracy: 0.5055

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.078188896179199
Linear Weight Rank: 179
Intra Cos: 0.008981154300272465
Inter Cos: 0.0023494698107242584
Norm Quadratic Average: 12.105813026428223
Nearest Class Center Accuracy: 0.526

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.062091827392578
Linear Weight Rank: 4
Intra Cos: 0.020135989412665367
Inter Cos: 0.0035623980220407248
Norm Quadratic Average: 12.071261405944824
Nearest Class Center Accuracy: 0.5455

Output Layer:
Intra Cos: 0.1375526487827301
Inter Cos: 0.022141609340906143
Norm Quadratic Average: 7.443647861480713
Nearest Class Center Accuracy: 0.524

