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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.84627103805542
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: 5.856905937194824
Linear Weight Rank: 179
Intra Cos: 0.013030816800892353
Inter Cos: 0.005436783656477928
Norm Quadratic Average: 3.4797258377075195
Nearest Class Center Accuracy: 0.449625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.870876312255859
Linear Weight Rank: 179
Intra Cos: 0.01600986160337925
Inter Cos: 0.00878048874437809
Norm Quadratic Average: 0.9449412822723389
Nearest Class Center Accuracy: 0.447125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.829178810119629
Linear Weight Rank: 179
Intra Cos: 0.029372090473771095
Inter Cos: 0.018632909283041954
Norm Quadratic Average: 0.287117600440979
Nearest Class Center Accuracy: 0.446

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.836165428161621
Linear Weight Rank: 180
Intra Cos: 0.04055430367588997
Inter Cos: 0.036954231560230255
Norm Quadratic Average: 0.09920860081911087
Nearest Class Center Accuracy: 0.446875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.9017823338508606
Linear Weight Rank: 4
Intra Cos: 0.049302905797958374
Inter Cos: 0.06172792986035347
Norm Quadratic Average: 0.03743266314268112
Nearest Class Center Accuracy: 0.4385

Output Layer:
Intra Cos: 0.06598785519599915
Inter Cos: 0.10204137861728668
Norm Quadratic Average: 0.010328046046197414
Nearest Class Center Accuracy: 0.427375

Test Set:
Average Loss: 1.3811467933654784
Accuracy: 0.2745
NC1 Within Class Collapse: 40.261497497558594
NC2 Equinorm: Features: 0.25903400778770447, Weights: 0.04598807170987129
NC2 Equiangle: Features: 0.7032715479532877, Weights: 0.28562549750010174
NC3 Self-Duality: 1.015242576599121
NC4 NCC Mismatch: 0.6619999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.84627103805542
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: 5.856905937194824
Linear Weight Rank: 179
Intra Cos: 0.014434412121772766
Inter Cos: 0.005690542981028557
Norm Quadratic Average: 3.4690189361572266
Nearest Class Center Accuracy: 0.46

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.870876312255859
Linear Weight Rank: 179
Intra Cos: 0.018170399591326714
Inter Cos: 0.008950404822826385
Norm Quadratic Average: 0.9440862536430359
Nearest Class Center Accuracy: 0.454

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.829178810119629
Linear Weight Rank: 179
Intra Cos: 0.03140956908464432
Inter Cos: 0.018366223201155663
Norm Quadratic Average: 0.28691399097442627
Nearest Class Center Accuracy: 0.461

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.836165428161621
Linear Weight Rank: 180
Intra Cos: 0.03834882006049156
Inter Cos: 0.03533368930220604
Norm Quadratic Average: 0.09909390658140182
Nearest Class Center Accuracy: 0.448

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.9017823338508606
Linear Weight Rank: 4
Intra Cos: 0.04391714558005333
Inter Cos: 0.058451369404792786
Norm Quadratic Average: 0.03734606131911278
Nearest Class Center Accuracy: 0.4425

Output Layer:
Intra Cos: 0.056243401020765305
Inter Cos: 0.09644783288240433
Norm Quadratic Average: 0.010297123342752457
Nearest Class Center Accuracy: 0.4185

