Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161163330078125
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: 8.055521965026855
Linear Weight Rank: 179
Intra Cos: 0.02866310440003872
Inter Cos: -0.003977273125201464
Norm Quadratic Average: 4.785058975219727
Nearest Class Center Accuracy: 0.577625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036975860595703
Linear Weight Rank: 179
Intra Cos: 0.02610984444618225
Inter Cos: -0.003423957619816065
Norm Quadratic Average: 1.7798938751220703
Nearest Class Center Accuracy: 0.53775

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061805725097656
Linear Weight Rank: 180
Intra Cos: 0.02252097614109516
Inter Cos: -0.002619806444272399
Norm Quadratic Average: 0.6660136580467224
Nearest Class Center Accuracy: 0.52925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033830642700195
Linear Weight Rank: 180
Intra Cos: 0.022706808522343636
Inter Cos: 0.0004796324938070029
Norm Quadratic Average: 0.2540825605392456
Nearest Class Center Accuracy: 0.509625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055376052856445
Linear Weight Rank: 180
Intra Cos: 0.025345750153064728
Inter Cos: -0.00040912925032898784
Norm Quadratic Average: 0.10150712728500366
Nearest Class Center Accuracy: 0.50825

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034893989562988
Linear Weight Rank: 180
Intra Cos: 0.023873206228017807
Inter Cos: 0.0009069134248420596
Norm Quadratic Average: 0.0393475703895092
Nearest Class Center Accuracy: 0.498875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03395938873291
Linear Weight Rank: 180
Intra Cos: 0.02557479217648506
Inter Cos: 0.0050368718802928925
Norm Quadratic Average: 0.014515643939375877
Nearest Class Center Accuracy: 0.483375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1483532190322876
Linear Weight Rank: 4
Intra Cos: 0.027280423790216446
Inter Cos: 0.006733392830938101
Norm Quadratic Average: 0.00606943853199482
Nearest Class Center Accuracy: 0.4725

Output Layer:
Intra Cos: 0.05385853722691536
Inter Cos: 0.0154519472271204
Norm Quadratic Average: 0.0005727700772695243
Nearest Class Center Accuracy: 0.423

Test Set:
Average Loss: 1.386680881500244
Accuracy: 0.255
NC1 Within Class Collapse: 21.710655212402344
NC2 Equinorm: Features: 0.09322720021009445, Weights: 0.05551176890730858
NC2 Equiangle: Features: 0.2794899145762126, Weights: 0.319055716196696
NC3 Self-Duality: 1.6413098573684692
NC4 NCC Mismatch: 0.739

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161163330078125
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: 8.055521965026855
Linear Weight Rank: 179
Intra Cos: 0.025960927829146385
Inter Cos: -0.003691864898428321
Norm Quadratic Average: 4.79194974899292
Nearest Class Center Accuracy: 0.5825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036975860595703
Linear Weight Rank: 179
Intra Cos: 0.023797819390892982
Inter Cos: -0.0030931259971112013
Norm Quadratic Average: 1.7814383506774902
Nearest Class Center Accuracy: 0.552

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.061805725097656
Linear Weight Rank: 180
Intra Cos: 0.019360670819878578
Inter Cos: -0.0014760999474674463
Norm Quadratic Average: 0.6669432520866394
Nearest Class Center Accuracy: 0.544

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033830642700195
Linear Weight Rank: 180
Intra Cos: 0.02008253149688244
Inter Cos: 0.0016048208344727755
Norm Quadratic Average: 0.25391098856925964
Nearest Class Center Accuracy: 0.5215

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.055376052856445
Linear Weight Rank: 180
Intra Cos: 0.021443253383040428
Inter Cos: 0.001002421835437417
Norm Quadratic Average: 0.10158825665712357
Nearest Class Center Accuracy: 0.508

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.034893989562988
Linear Weight Rank: 180
Intra Cos: 0.021070336923003197
Inter Cos: -0.00013119624054525048
Norm Quadratic Average: 0.03941454365849495
Nearest Class Center Accuracy: 0.5025

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.03395938873291
Linear Weight Rank: 180
Intra Cos: 0.020225508138537407
Inter Cos: 0.004005426540970802
Norm Quadratic Average: 0.014524386264383793
Nearest Class Center Accuracy: 0.467

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1483532190322876
Linear Weight Rank: 4
Intra Cos: 0.02256399393081665
Inter Cos: 0.00442844582721591
Norm Quadratic Average: 0.006076319608837366
Nearest Class Center Accuracy: 0.4705

Output Layer:
Intra Cos: 0.04064556211233139
Inter Cos: 0.01715339533984661
Norm Quadratic Average: 0.0005712322308681905
Nearest Class Center Accuracy: 0.4375

