Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.07351016998291
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.186345100402832
Linear Weight Rank: 180
Intra Cos: 0.025517448782920837
Inter Cos: -0.0033659012988209724
Norm Quadratic Average: 8.760619163513184
Nearest Class Center Accuracy: 0.5885

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.148870944976807
Linear Weight Rank: 179
Intra Cos: 0.02845887467265129
Inter Cos: -0.0031427217181771994
Norm Quadratic Average: 8.748430252075195
Nearest Class Center Accuracy: 0.649875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069443225860596
Linear Weight Rank: 179
Intra Cos: 0.040472060441970825
Inter Cos: -0.005574066191911697
Norm Quadratic Average: 8.726680755615234
Nearest Class Center Accuracy: 0.765625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.052452564239502
Linear Weight Rank: 179
Intra Cos: 0.08552971482276917
Inter Cos: -0.0244609247893095
Norm Quadratic Average: 8.708114624023438
Nearest Class Center Accuracy: 0.97725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.327570915222168
Linear Weight Rank: 4
Intra Cos: 0.35835662484169006
Inter Cos: -0.089676134288311
Norm Quadratic Average: 9.015591621398926
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.915780246257782
Inter Cos: -0.16081608831882477
Norm Quadratic Average: 7.6905198097229
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.8445392074584961
Accuracy: 0.731
NC1 Within Class Collapse: 3.3751041889190674
NC2 Equinorm: Features: 0.051691241562366486, Weights: 0.02876153774559498
NC2 Equiangle: Features: 0.10039331515630086, Weights: 0.03768417735894521
NC3 Self-Duality: 0.14190936088562012
NC4 NCC Mismatch: 0.03249999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.07351016998291
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.186345100402832
Linear Weight Rank: 180
Intra Cos: 0.024901008233428
Inter Cos: -0.002731089014559984
Norm Quadratic Average: 8.799394607543945
Nearest Class Center Accuracy: 0.579

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.148870944976807
Linear Weight Rank: 179
Intra Cos: 0.024422962218523026
Inter Cos: -0.0023165883030742407
Norm Quadratic Average: 8.759862899780273
Nearest Class Center Accuracy: 0.6235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.069443225860596
Linear Weight Rank: 179
Intra Cos: 0.03165874257683754
Inter Cos: -0.0016331239603459835
Norm Quadratic Average: 8.733444213867188
Nearest Class Center Accuracy: 0.672

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.052452564239502
Linear Weight Rank: 179
Intra Cos: 0.050810735672712326
Inter Cos: -0.0066948444582521915
Norm Quadratic Average: 8.632424354553223
Nearest Class Center Accuracy: 0.7355

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.327570915222168
Linear Weight Rank: 4
Intra Cos: 0.15291067957878113
Inter Cos: -0.02722756937146187
Norm Quadratic Average: 8.6138334274292
Nearest Class Center Accuracy: 0.7395

Output Layer:
Intra Cos: 0.42554986476898193
Inter Cos: -0.07260716706514359
Norm Quadratic Average: 6.880105018615723
Nearest Class Center Accuracy: 0.7325

