Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114218711853027
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
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: 8.028727531433105
Linear Weight Rank: 180
Intra Cos: 0.01224430464208126
Inter Cos: 0.005390865262597799
Norm Quadratic Average: 4.8417768478393555
Nearest Class Center Accuracy: 0.450875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.020977020263672
Linear Weight Rank: 180
Intra Cos: 0.010759883560240269
Inter Cos: 0.00707536144182086
Norm Quadratic Average: 1.7369805574417114
Nearest Class Center Accuracy: 0.43575

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073789596557617
Linear Weight Rank: 179
Intra Cos: 0.009162710048258305
Inter Cos: 0.006629024166613817
Norm Quadratic Average: 0.6391051411628723
Nearest Class Center Accuracy: 0.415

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036502838134766
Linear Weight Rank: 180
Intra Cos: 0.009300313889980316
Inter Cos: 0.0029865538235753775
Norm Quadratic Average: 0.237867534160614
Nearest Class Center Accuracy: 0.397875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042231559753418
Linear Weight Rank: 180
Intra Cos: 0.00830924790352583
Inter Cos: 0.004324409645050764
Norm Quadratic Average: 0.0945020541548729
Nearest Class Center Accuracy: 0.395875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073740005493164
Linear Weight Rank: 180
Intra Cos: 0.010263428092002869
Inter Cos: 0.001958088716492057
Norm Quadratic Average: 0.03876907378435135
Nearest Class Center Accuracy: 0.38525

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053207397460938
Linear Weight Rank: 179
Intra Cos: 0.009587476029992104
Inter Cos: 0.00015525271010119468
Norm Quadratic Average: 0.01630447991192341
Nearest Class Center Accuracy: 0.37275

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1784570217132568
Linear Weight Rank: 4
Intra Cos: 0.007986881770193577
Inter Cos: 0.0010114824399352074
Norm Quadratic Average: 0.006525316741317511
Nearest Class Center Accuracy: 0.36325

Output Layer:
Intra Cos: 0.0055967592634260654
Inter Cos: 0.00879022479057312
Norm Quadratic Average: 0.000665954954456538
Nearest Class Center Accuracy: 0.33975

Test Set:
Average Loss: 1.3836097068786621
Accuracy: 0.2695
NC1 Within Class Collapse: 55.83788299560547
NC2 Equinorm: Features: 0.27750077843666077, Weights: 0.01985376887023449
NC2 Equiangle: Features: 0.20821571350097656, Weights: 0.29559963941574097
NC3 Self-Duality: 1.6938329935073853
NC4 NCC Mismatch: 0.7695

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.114218711853027
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 8.028727531433105
Linear Weight Rank: 180
Intra Cos: 0.011714023537933826
Inter Cos: 0.004926932975649834
Norm Quadratic Average: 4.819823741912842
Nearest Class Center Accuracy: 0.452

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.020977020263672
Linear Weight Rank: 180
Intra Cos: 0.009430252015590668
Inter Cos: 0.0068901008926332
Norm Quadratic Average: 1.7248642444610596
Nearest Class Center Accuracy: 0.449

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073789596557617
Linear Weight Rank: 179
Intra Cos: 0.006888312287628651
Inter Cos: 0.007634706795215607
Norm Quadratic Average: 0.6374350786209106
Nearest Class Center Accuracy: 0.4225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036502838134766
Linear Weight Rank: 180
Intra Cos: 0.006521705538034439
Inter Cos: 0.003664180636405945
Norm Quadratic Average: 0.23665283620357513
Nearest Class Center Accuracy: 0.414

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.042231559753418
Linear Weight Rank: 180
Intra Cos: 0.006243623793125153
Inter Cos: 0.005181398242712021
Norm Quadratic Average: 0.0942513570189476
Nearest Class Center Accuracy: 0.414

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.073740005493164
Linear Weight Rank: 180
Intra Cos: 0.009178772568702698
Inter Cos: 0.0011807763949036598
Norm Quadratic Average: 0.038702141493558884
Nearest Class Center Accuracy: 0.394

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053207397460938
Linear Weight Rank: 179
Intra Cos: 0.011360570788383484
Inter Cos: -0.0007342292810790241
Norm Quadratic Average: 0.01627735048532486
Nearest Class Center Accuracy: 0.388

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1784570217132568
Linear Weight Rank: 4
Intra Cos: 0.0088960537686944
Inter Cos: 0.001829312415793538
Norm Quadratic Average: 0.006517046131193638
Nearest Class Center Accuracy: 0.3795

Output Layer:
Intra Cos: 0.0085850078612566
Inter Cos: 0.010123275220394135
Norm Quadratic Average: 0.0006623459048569202
Nearest Class Center Accuracy: 0.349

