Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.126043319702148
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140114784240723
Linear Weight Rank: 179
Intra Cos: 0.06360242515802383
Inter Cos: 0.007498579099774361
Norm Quadratic Average: 4.841845989227295
Nearest Class Center Accuracy: 0.823

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159523010253906
Linear Weight Rank: 179
Intra Cos: 0.048355281352996826
Inter Cos: 0.003859294345602393
Norm Quadratic Average: 1.7078595161437988
Nearest Class Center Accuracy: 0.748

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.100951194763184
Linear Weight Rank: 179
Intra Cos: 0.043165020644664764
Inter Cos: 0.005961283575743437
Norm Quadratic Average: 0.6290797591209412
Nearest Class Center Accuracy: 0.663

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110578536987305
Linear Weight Rank: 180
Intra Cos: 0.04580682888627052
Inter Cos: 0.01360266748815775
Norm Quadratic Average: 0.24282103776931763
Nearest Class Center Accuracy: 0.615625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132109642028809
Linear Weight Rank: 179
Intra Cos: 0.0540471076965332
Inter Cos: 0.025766603648662567
Norm Quadratic Average: 0.09858153760433197
Nearest Class Center Accuracy: 0.5835

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111088752746582
Linear Weight Rank: 180
Intra Cos: 0.05557374283671379
Inter Cos: 0.03359326347708702
Norm Quadratic Average: 0.0368591845035553
Nearest Class Center Accuracy: 0.58475

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10581111907959
Linear Weight Rank: 179
Intra Cos: 0.06274988502264023
Inter Cos: 0.03596839681267738
Norm Quadratic Average: 0.015714339911937714
Nearest Class Center Accuracy: 0.568625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1988165378570557
Linear Weight Rank: 4
Intra Cos: 0.06858615577220917
Inter Cos: 0.053982701152563095
Norm Quadratic Average: 0.006786820944398642
Nearest Class Center Accuracy: 0.5515

Output Layer:
Intra Cos: 0.16077540814876556
Inter Cos: 0.1502646654844284
Norm Quadratic Average: 0.0009523674962110817
Nearest Class Center Accuracy: 0.535625

Test Set:
Average Loss: 1.3871612586975097
Accuracy: 0.257
NC1 Within Class Collapse: 41.55293273925781
NC2 Equinorm: Features: 0.21097132563591003, Weights: 0.021067827939987183
NC2 Equiangle: Features: 0.6189361413319906, Weights: 0.3416120608647664
NC3 Self-Duality: 1.5169484615325928
NC4 NCC Mismatch: 0.7384999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.126043319702148
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.140114784240723
Linear Weight Rank: 179
Intra Cos: 0.06333020329475403
Inter Cos: 0.009256010875105858
Norm Quadratic Average: 4.8353095054626465
Nearest Class Center Accuracy: 0.824

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.159523010253906
Linear Weight Rank: 179
Intra Cos: 0.047400981187820435
Inter Cos: 0.005268822889775038
Norm Quadratic Average: 1.7081596851348877
Nearest Class Center Accuracy: 0.756

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.100951194763184
Linear Weight Rank: 179
Intra Cos: 0.0448603518307209
Inter Cos: 0.003636159934103489
Norm Quadratic Average: 0.6285883784294128
Nearest Class Center Accuracy: 0.6745

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.110578536987305
Linear Weight Rank: 180
Intra Cos: 0.04680166393518448
Inter Cos: 0.017572058364748955
Norm Quadratic Average: 0.24333693087100983
Nearest Class Center Accuracy: 0.6455

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132109642028809
Linear Weight Rank: 179
Intra Cos: 0.053379036486148834
Inter Cos: 0.028871670365333557
Norm Quadratic Average: 0.09876906871795654
Nearest Class Center Accuracy: 0.6

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111088752746582
Linear Weight Rank: 180
Intra Cos: 0.05702170729637146
Inter Cos: 0.03602517396211624
Norm Quadratic Average: 0.03702046722173691
Nearest Class Center Accuracy: 0.6045

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.10581111907959
Linear Weight Rank: 179
Intra Cos: 0.06333888322114944
Inter Cos: 0.037066638469696045
Norm Quadratic Average: 0.01580810360610485
Nearest Class Center Accuracy: 0.5905

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1988165378570557
Linear Weight Rank: 4
Intra Cos: 0.06580078601837158
Inter Cos: 0.05741112306714058
Norm Quadratic Average: 0.006831918377429247
Nearest Class Center Accuracy: 0.573

Output Layer:
Intra Cos: 0.15193484723567963
Inter Cos: 0.15337859094142914
Norm Quadratic Average: 0.0009628281113691628
Nearest Class Center Accuracy: 0.551

