Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.967921733856201
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9548861980438232
Linear Weight Rank: 179
Intra Cos: 0.05695413425564766
Inter Cos: 0.010105052962899208
Norm Quadratic Average: 1.765990972518921
Nearest Class Center Accuracy: 0.81475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9495275020599365
Linear Weight Rank: 179
Intra Cos: 0.10223713517189026
Inter Cos: 0.0899658352136612
Norm Quadratic Average: 0.3025609850883484
Nearest Class Center Accuracy: 0.722

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9409453868865967
Linear Weight Rank: 179
Intra Cos: 0.16520610451698303
Inter Cos: 0.22602903842926025
Norm Quadratic Average: 0.08419255912303925
Nearest Class Center Accuracy: 0.63825

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.947072982788086
Linear Weight Rank: 179
Intra Cos: 0.19891321659088135
Inter Cos: 0.3208913207054138
Norm Quadratic Average: 0.032395973801612854
Nearest Class Center Accuracy: 0.5885

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.5646496415138245
Linear Weight Rank: 4
Intra Cos: 0.19181740283966064
Inter Cos: 0.3656090795993805
Norm Quadratic Average: 0.013419760391116142
Nearest Class Center Accuracy: 0.572375

Output Layer:
Intra Cos: 0.17109888792037964
Inter Cos: 0.38389742374420166
Norm Quadratic Average: 0.005332273431122303
Nearest Class Center Accuracy: 0.56625

Test Set:
Average Loss: 1.3850986251831054
Accuracy: 0.258
NC1 Within Class Collapse: 320.36474609375
NC2 Equinorm: Features: 0.6046332716941833, Weights: 0.1870867758989334
NC2 Equiangle: Features: 0.8698874314626058, Weights: 0.26932334899902344
NC3 Self-Duality: 0.5518553256988525
NC4 NCC Mismatch: 0.7444999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.967921733856201
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9548861980438232
Linear Weight Rank: 179
Intra Cos: 0.054903749376535416
Inter Cos: 0.004377483855932951
Norm Quadratic Average: 1.763298749923706
Nearest Class Center Accuracy: 0.8235

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9495275020599365
Linear Weight Rank: 179
Intra Cos: 0.0962614119052887
Inter Cos: 0.07550548762083054
Norm Quadratic Average: 0.3016435503959656
Nearest Class Center Accuracy: 0.7145

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9409453868865967
Linear Weight Rank: 179
Intra Cos: 0.14856676757335663
Inter Cos: 0.19998237490653992
Norm Quadratic Average: 0.08382236212491989
Nearest Class Center Accuracy: 0.63

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.947072982788086
Linear Weight Rank: 179
Intra Cos: 0.15957197546958923
Inter Cos: 0.2885532081127167
Norm Quadratic Average: 0.03222467005252838
Nearest Class Center Accuracy: 0.577

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.5646496415138245
Linear Weight Rank: 4
Intra Cos: 0.13937759399414062
Inter Cos: 0.33306053280830383
Norm Quadratic Average: 0.013348383828997612
Nearest Class Center Accuracy: 0.56

Output Layer:
Intra Cos: 0.11560788750648499
Inter Cos: 0.35681381821632385
Norm Quadratic Average: 0.005303558893501759
Nearest Class Center Accuracy: 0.5555

