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_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.056391716003418
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058318138122559
Linear Weight Rank: 180
Intra Cos: 0.025391267612576485
Inter Cos: -0.004753502085804939
Norm Quadratic Average: 13.778594017028809
Nearest Class Center Accuracy: 0.57475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.008934020996094
Linear Weight Rank: 179
Intra Cos: 0.028736567124724388
Inter Cos: -0.0032927042338997126
Norm Quadratic Average: 13.75394344329834
Nearest Class Center Accuracy: 0.632125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027081489562988
Linear Weight Rank: 180
Intra Cos: 0.0351928174495697
Inter Cos: -0.006675479933619499
Norm Quadratic Average: 13.721329689025879
Nearest Class Center Accuracy: 0.75225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970885753631592
Linear Weight Rank: 180
Intra Cos: 0.06581597030162811
Inter Cos: -0.016065141186118126
Norm Quadratic Average: 13.69792366027832
Nearest Class Center Accuracy: 0.9425

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.827484130859375
Linear Weight Rank: 4
Intra Cos: 0.2049001306295395
Inter Cos: -0.058778319507837296
Norm Quadratic Average: 14.005365371704102
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8565837144851685
Inter Cos: -0.1689978539943695
Norm Quadratic Average: 11.192816734313965
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0827026519775391
Accuracy: 0.7315
NC1 Within Class Collapse: 3.801192283630371
NC2 Equinorm: Features: 0.06517652422189713, Weights: 0.03119772858917713
NC2 Equiangle: Features: 0.08708996574083964, Weights: 0.05526237189769745
NC3 Self-Duality: 0.20099472999572754
NC4 NCC Mismatch: 0.057499999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.056391716003418
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 8.058318138122559
Linear Weight Rank: 180
Intra Cos: 0.02365036867558956
Inter Cos: -0.0035660876892507076
Norm Quadratic Average: 13.778186798095703
Nearest Class Center Accuracy: 0.593

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.008934020996094
Linear Weight Rank: 179
Intra Cos: 0.02501508966088295
Inter Cos: -0.0014586239121854305
Norm Quadratic Average: 13.73665714263916
Nearest Class Center Accuracy: 0.6235

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.027081489562988
Linear Weight Rank: 180
Intra Cos: 0.025349967181682587
Inter Cos: -0.003224477404728532
Norm Quadratic Average: 13.725859642028809
Nearest Class Center Accuracy: 0.6675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.970885753631592
Linear Weight Rank: 180
Intra Cos: 0.03704678267240524
Inter Cos: -0.005198157858103514
Norm Quadratic Average: 13.659698486328125
Nearest Class Center Accuracy: 0.712

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.827484130859375
Linear Weight Rank: 4
Intra Cos: 0.09036211669445038
Inter Cos: -0.015823250636458397
Norm Quadratic Average: 13.737939834594727
Nearest Class Center Accuracy: 0.7395

Output Layer:
Intra Cos: 0.4003312289714813
Inter Cos: -0.06325362622737885
Norm Quadratic Average: 10.310356140136719
Nearest Class Center Accuracy: 0.7315

