Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_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: 5.05804443359375
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
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: 5.067017555236816
Linear Weight Rank: 179
Intra Cos: 0.012890257872641087
Inter Cos: 0.005299747455865145
Norm Quadratic Average: 3.009449005126953
Nearest Class Center Accuracy: 0.45025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.079075813293457
Linear Weight Rank: 179
Intra Cos: 0.01267908699810505
Inter Cos: 0.00560555187985301
Norm Quadratic Average: 0.6862377524375916
Nearest Class Center Accuracy: 0.44375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042854309082031
Linear Weight Rank: 179
Intra Cos: 0.020189251750707626
Inter Cos: 0.009039420634508133
Norm Quadratic Average: 0.1704990118741989
Nearest Class Center Accuracy: 0.436875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048623085021973
Linear Weight Rank: 180
Intra Cos: 0.03136001527309418
Inter Cos: 0.01712329126894474
Norm Quadratic Average: 0.04761429503560066
Nearest Class Center Accuracy: 0.443625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7520256638526917
Linear Weight Rank: 4
Intra Cos: 0.037826042622327805
Inter Cos: 0.03043174557387829
Norm Quadratic Average: 0.013486585579812527
Nearest Class Center Accuracy: 0.44

Output Layer:
Intra Cos: 0.06474380195140839
Inter Cos: 0.06885848939418793
Norm Quadratic Average: 0.002058120444417
Nearest Class Center Accuracy: 0.430375

Test Set:
Average Loss: 1.3832078323364259
Accuracy: 0.2695
NC1 Within Class Collapse: 41.928009033203125
NC2 Equinorm: Features: 0.21917003393173218, Weights: 0.03791432827711105
NC2 Equiangle: Features: 0.5543967088063558, Weights: 0.30725471178690594
NC3 Self-Duality: 1.1488152742385864
NC4 NCC Mismatch: 0.6975

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.05804443359375
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
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: 5.067017555236816
Linear Weight Rank: 179
Intra Cos: 0.014260929077863693
Inter Cos: 0.00556487962603569
Norm Quadratic Average: 3.00024151802063
Nearest Class Center Accuracy: 0.462

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.079075813293457
Linear Weight Rank: 179
Intra Cos: 0.014034368097782135
Inter Cos: 0.00584734370931983
Norm Quadratic Average: 0.6859115958213806
Nearest Class Center Accuracy: 0.448

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.042854309082031
Linear Weight Rank: 179
Intra Cos: 0.022789621725678444
Inter Cos: 0.00914454460144043
Norm Quadratic Average: 0.17046324908733368
Nearest Class Center Accuracy: 0.451

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048623085021973
Linear Weight Rank: 180
Intra Cos: 0.032351214438676834
Inter Cos: 0.01631678082048893
Norm Quadratic Average: 0.04761514440178871
Nearest Class Center Accuracy: 0.452

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7520256638526917
Linear Weight Rank: 4
Intra Cos: 0.03699831664562225
Inter Cos: 0.029186967760324478
Norm Quadratic Average: 0.013466298580169678
Nearest Class Center Accuracy: 0.4395

Output Layer:
Intra Cos: 0.06574621796607971
Inter Cos: 0.06535230576992035
Norm Quadratic Average: 0.0020489769522100687
Nearest Class Center Accuracy: 0.435

