Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2833266258239746
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.827175498008728
Linear Weight Rank: 176
Intra Cos: 0.03186192363500595
Inter Cos: -0.0057208542712032795
Norm Quadratic Average: 1.3611541986465454
Nearest Class Center Accuracy: 0.6255

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7078468799591064
Linear Weight Rank: 177
Intra Cos: 0.04371930658817291
Inter Cos: -0.010375725105404854
Norm Quadratic Average: 1.2804020643234253
Nearest Class Center Accuracy: 0.728375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4785603284835815
Linear Weight Rank: 177
Intra Cos: 0.06266222149133682
Inter Cos: -0.01834116317331791
Norm Quadratic Average: 1.2018849849700928
Nearest Class Center Accuracy: 0.8695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.197829246520996
Linear Weight Rank: 178
Intra Cos: 0.11287514120340347
Inter Cos: -0.03340967372059822
Norm Quadratic Average: 1.1168692111968994
Nearest Class Center Accuracy: 0.97925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9291831851005554
Linear Weight Rank: 179
Intra Cos: 0.27809807658195496
Inter Cos: -0.062346670776605606
Norm Quadratic Average: 1.044676423072815
Nearest Class Center Accuracy: 0.999375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7957100868225098
Linear Weight Rank: 179
Intra Cos: 0.6652832627296448
Inter Cos: -0.18937252461910248
Norm Quadratic Average: 1.0884405374526978
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8122604489326477
Linear Weight Rank: 178
Intra Cos: 0.9134283065795898
Inter Cos: -0.2460784912109375
Norm Quadratic Average: 1.1889268159866333
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.127143621444702
Linear Weight Rank: 4
Intra Cos: 0.9963554739952087
Inter Cos: -0.25920116901397705
Norm Quadratic Average: 2.4297008514404297
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9989719986915588
Inter Cos: -0.22171498835086823
Norm Quadratic Average: 2.9793448448181152
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7109580955505371
Accuracy: 0.7575
NC1 Within Class Collapse: 2.6822104454040527
NC2 Equinorm: Features: 0.05316322296857834, Weights: 0.023654889315366745
NC2 Equiangle: Features: 0.05123884975910187, Weights: 0.01843564212322235
NC3 Self-Duality: 0.009931640699505806
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2833266258239746
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
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: 1.827175498008728
Linear Weight Rank: 176
Intra Cos: 0.02876731939613819
Inter Cos: -0.004088759887963533
Norm Quadratic Average: 1.363935947418213
Nearest Class Center Accuracy: 0.6255

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7078468799591064
Linear Weight Rank: 177
Intra Cos: 0.03484133630990982
Inter Cos: -0.007330258842557669
Norm Quadratic Average: 1.2792720794677734
Nearest Class Center Accuracy: 0.6825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4785603284835815
Linear Weight Rank: 177
Intra Cos: 0.041941288858652115
Inter Cos: -0.007668007165193558
Norm Quadratic Average: 1.190750241279602
Nearest Class Center Accuracy: 0.7235

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.197829246520996
Linear Weight Rank: 178
Intra Cos: 0.06678630411624908
Inter Cos: -0.012192276306450367
Norm Quadratic Average: 1.0819662809371948
Nearest Class Center Accuracy: 0.7525

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9291831851005554
Linear Weight Rank: 179
Intra Cos: 0.1363578885793686
Inter Cos: -0.019353901967406273
Norm Quadratic Average: 0.9720908403396606
Nearest Class Center Accuracy: 0.7615

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7957100868225098
Linear Weight Rank: 179
Intra Cos: 0.30735790729522705
Inter Cos: -0.030101710930466652
Norm Quadratic Average: 0.969362199306488
Nearest Class Center Accuracy: 0.7615

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8122604489326477
Linear Weight Rank: 178
Intra Cos: 0.41977760195732117
Inter Cos: -0.06819745153188705
Norm Quadratic Average: 1.0529236793518066
Nearest Class Center Accuracy: 0.761

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.127143621444702
Linear Weight Rank: 4
Intra Cos: 0.47205501794815063
Inter Cos: -0.10122685134410858
Norm Quadratic Average: 2.1571688652038574
Nearest Class Center Accuracy: 0.758

Output Layer:
Intra Cos: 0.4747467339038849
Inter Cos: -0.1105278730392456
Norm Quadratic Average: 2.6404314041137695
Nearest Class Center Accuracy: 0.7565

