Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_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: 7.22561502456665
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.474895477294922
Linear Weight Rank: 180
Intra Cos: 0.012115444988012314
Inter Cos: 0.00264318217523396
Norm Quadratic Average: 12.238637924194336
Nearest Class Center Accuracy: 0.456

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.352914810180664
Linear Weight Rank: 179
Intra Cos: 0.010868875309824944
Inter Cos: 0.0027737589552998543
Norm Quadratic Average: 12.206925392150879
Nearest Class Center Accuracy: 0.488375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.296159744262695
Linear Weight Rank: 180
Intra Cos: 0.011780810542404652
Inter Cos: 0.0027356063947081566
Norm Quadratic Average: 12.197173118591309
Nearest Class Center Accuracy: 0.51725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2081685066223145
Linear Weight Rank: 180
Intra Cos: 0.016819410026073456
Inter Cos: 0.0019653216004371643
Norm Quadratic Average: 12.186651229858398
Nearest Class Center Accuracy: 0.579625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169365406036377
Linear Weight Rank: 179
Intra Cos: 0.025822395458817482
Inter Cos: 0.0007564174593426287
Norm Quadratic Average: 12.179861068725586
Nearest Class Center Accuracy: 0.7025

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100443363189697
Linear Weight Rank: 179
Intra Cos: 0.04615017771720886
Inter Cos: -0.004284632857888937
Norm Quadratic Average: 12.190568923950195
Nearest Class Center Accuracy: 0.871375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.071775436401367
Linear Weight Rank: 179
Intra Cos: 0.10337688773870468
Inter Cos: -0.017587674781680107
Norm Quadratic Average: 12.252656936645508
Nearest Class Center Accuracy: 0.99825

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4886386394500732
Linear Weight Rank: 4
Intra Cos: 0.3061680495738983
Inter Cos: -0.07944713532924652
Norm Quadratic Average: 12.678620338439941
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9224036931991577
Inter Cos: -0.18680042028427124
Norm Quadratic Average: 10.166398048400879
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.3044454193115236
Accuracy: 0.515
NC1 Within Class Collapse: 13.760052680969238
NC2 Equinorm: Features: 0.06759138405323029, Weights: 0.0319753959774971
NC2 Equiangle: Features: 0.2666467825571696, Weights: 0.052242149909337364
NC3 Self-Duality: 0.22905755043029785
NC4 NCC Mismatch: 0.07350000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.22561502456665
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
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: 7.474895477294922
Linear Weight Rank: 180
Intra Cos: 0.013194515369832516
Inter Cos: 0.0026630547363311052
Norm Quadratic Average: 12.219366073608398
Nearest Class Center Accuracy: 0.4745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.352914810180664
Linear Weight Rank: 179
Intra Cos: 0.010817763395607471
Inter Cos: 0.0025556727778166533
Norm Quadratic Average: 12.161711692810059
Nearest Class Center Accuracy: 0.502

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.296159744262695
Linear Weight Rank: 180
Intra Cos: 0.009706918150186539
Inter Cos: 0.002834677929058671
Norm Quadratic Average: 12.141938209533691
Nearest Class Center Accuracy: 0.5

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.2081685066223145
Linear Weight Rank: 180
Intra Cos: 0.010878763161599636
Inter Cos: 0.0034286605659872293
Norm Quadratic Average: 12.077726364135742
Nearest Class Center Accuracy: 0.505

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.169365406036377
Linear Weight Rank: 179
Intra Cos: 0.01167253963649273
Inter Cos: 0.003708018222823739
Norm Quadratic Average: 12.004589080810547
Nearest Class Center Accuracy: 0.508

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.100443363189697
Linear Weight Rank: 179
Intra Cos: 0.012724963948130608
Inter Cos: 0.002839434891939163
Norm Quadratic Average: 11.847163200378418
Nearest Class Center Accuracy: 0.517

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.071775436401367
Linear Weight Rank: 179
Intra Cos: 0.015847016125917435
Inter Cos: 0.0036934122908860445
Norm Quadratic Average: 11.670146942138672
Nearest Class Center Accuracy: 0.5325

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4886386394500732
Linear Weight Rank: 4
Intra Cos: 0.0352676697075367
Inter Cos: 0.0028616897761821747
Norm Quadratic Average: 11.205307006835938
Nearest Class Center Accuracy: 0.5285

Output Layer:
Intra Cos: 0.13469092547893524
Inter Cos: 0.015105808153748512
Norm Quadratic Average: 7.502129554748535
Nearest Class Center Accuracy: 0.515

