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_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.9102935791015625
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.020357608795166
Linear Weight Rank: 179
Intra Cos: 0.02498098462820053
Inter Cos: -0.004419609904289246
Norm Quadratic Average: 10.136331558227539
Nearest Class Center Accuracy: 0.57675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.955588340759277
Linear Weight Rank: 179
Intra Cos: 0.029172319918870926
Inter Cos: -0.004850199446082115
Norm Quadratic Average: 10.1129732131958
Nearest Class Center Accuracy: 0.63

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.948426723480225
Linear Weight Rank: 179
Intra Cos: 0.03506874665617943
Inter Cos: -0.004454262088984251
Norm Quadratic Average: 10.085350036621094
Nearest Class Center Accuracy: 0.70725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.886958599090576
Linear Weight Rank: 180
Intra Cos: 0.04994640499353409
Inter Cos: -0.008496775291860104
Norm Quadratic Average: 10.07876968383789
Nearest Class Center Accuracy: 0.788125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.862929821014404
Linear Weight Rank: 179
Intra Cos: 0.058046892285346985
Inter Cos: -0.014529319480061531
Norm Quadratic Average: 10.076376914978027
Nearest Class Center Accuracy: 0.904625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.867230415344238
Linear Weight Rank: 179
Intra Cos: 0.09856120496988297
Inter Cos: -0.0203582551330328
Norm Quadratic Average: 10.081494331359863
Nearest Class Center Accuracy: 0.988125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844186305999756
Linear Weight Rank: 179
Intra Cos: 0.1975151002407074
Inter Cos: -0.04585815221071243
Norm Quadratic Average: 10.090654373168945
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0433926582336426
Linear Weight Rank: 4
Intra Cos: 0.48864421248435974
Inter Cos: -0.1334315687417984
Norm Quadratic Average: 10.325272560119629
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9480170011520386
Inter Cos: -0.20767225325107574
Norm Quadratic Average: 8.401741981506348
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0854078063964843
Accuracy: 0.702
NC1 Within Class Collapse: 3.7747020721435547
NC2 Equinorm: Features: 0.047262042760849, Weights: 0.0257591400295496
NC2 Equiangle: Features: 0.08443111181259155, Weights: 0.05193829536437988
NC3 Self-Duality: 0.15355932712554932
NC4 NCC Mismatch: 0.02749999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.9102935791015625
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.020357608795166
Linear Weight Rank: 179
Intra Cos: 0.023392660543322563
Inter Cos: -0.0032782191410660744
Norm Quadratic Average: 10.13559341430664
Nearest Class Center Accuracy: 0.59

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.955588340759277
Linear Weight Rank: 179
Intra Cos: 0.025775913149118423
Inter Cos: -0.0027165599167346954
Norm Quadratic Average: 10.078147888183594
Nearest Class Center Accuracy: 0.6165

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.948426723480225
Linear Weight Rank: 179
Intra Cos: 0.02788790874183178
Inter Cos: -0.005028005689382553
Norm Quadratic Average: 10.053705215454102
Nearest Class Center Accuracy: 0.643

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.886958599090576
Linear Weight Rank: 180
Intra Cos: 0.035660553723573685
Inter Cos: -0.007546325214207172
Norm Quadratic Average: 9.997087478637695
Nearest Class Center Accuracy: 0.6745

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.862929821014404
Linear Weight Rank: 179
Intra Cos: 0.03704754635691643
Inter Cos: -0.007542139384895563
Norm Quadratic Average: 9.950946807861328
Nearest Class Center Accuracy: 0.6995

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.867230415344238
Linear Weight Rank: 179
Intra Cos: 0.0485856756567955
Inter Cos: -0.010598613880574703
Norm Quadratic Average: 9.833407402038574
Nearest Class Center Accuracy: 0.7085

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.844186305999756
Linear Weight Rank: 179
Intra Cos: 0.0763595700263977
Inter Cos: -0.016732417047023773
Norm Quadratic Average: 9.560483932495117
Nearest Class Center Accuracy: 0.7145

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0433926582336426
Linear Weight Rank: 4
Intra Cos: 0.17075805366039276
Inter Cos: -0.03389973193407059
Norm Quadratic Average: 9.177562713623047
Nearest Class Center Accuracy: 0.706

Output Layer:
Intra Cos: 0.3966350555419922
Inter Cos: -0.06620363146066666
Norm Quadratic Average: 6.801130771636963
Nearest Class Center Accuracy: 0.707

