Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_979323_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.189847946166992
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584897577762604
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: 8.103370666503906
Linear Weight Rank: 180
Intra Cos: 0.06007746234536171
Inter Cos: 0.007369345054030418
Norm Quadratic Average: 4.892086982727051
Nearest Class Center Accuracy: 0.831125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095574378967285
Linear Weight Rank: 180
Intra Cos: 0.047074127942323685
Inter Cos: 0.011286952532827854
Norm Quadratic Average: 1.7697815895080566
Nearest Class Center Accuracy: 0.73475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148903846740723
Linear Weight Rank: 179
Intra Cos: 0.03895488381385803
Inter Cos: 0.009569667279720306
Norm Quadratic Average: 0.655109703540802
Nearest Class Center Accuracy: 0.643625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111281394958496
Linear Weight Rank: 180
Intra Cos: 0.03307882696390152
Inter Cos: 0.007334207650274038
Norm Quadratic Average: 0.24594491720199585
Nearest Class Center Accuracy: 0.594125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11707878112793
Linear Weight Rank: 180
Intra Cos: 0.03943280130624771
Inter Cos: 0.010957319289445877
Norm Quadratic Average: 0.0987885370850563
Nearest Class Center Accuracy: 0.597375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148889541625977
Linear Weight Rank: 180
Intra Cos: 0.039079394191503525
Inter Cos: 0.009216261096298695
Norm Quadratic Average: 0.04031604900956154
Nearest Class Center Accuracy: 0.578875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128026962280273
Linear Weight Rank: 179
Intra Cos: 0.03415997326374054
Inter Cos: 0.012747936882078648
Norm Quadratic Average: 0.016954699531197548
Nearest Class Center Accuracy: 0.54875

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150924682617188
Linear Weight Rank: 179
Intra Cos: 0.023068657144904137
Inter Cos: 0.01258784718811512
Norm Quadratic Average: 0.006923060864210129
Nearest Class Center Accuracy: 0.51675

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098517417907715
Linear Weight Rank: 180
Intra Cos: 0.02348998747766018
Inter Cos: 0.011807577684521675
Norm Quadratic Average: 0.0027636585291475058
Nearest Class Center Accuracy: 0.494625

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142148971557617
Linear Weight Rank: 180
Intra Cos: 0.026239780709147453
Inter Cos: 0.014064573682844639
Norm Quadratic Average: 0.0011334368027746677
Nearest Class Center Accuracy: 0.483125

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1484454870224
Linear Weight Rank: 4
Intra Cos: 0.029568852856755257
Inter Cos: 0.017954004928469658
Norm Quadratic Average: 0.00046271513565443456
Nearest Class Center Accuracy: 0.45725

Output Layer:
Intra Cos: 0.026921100914478302
Inter Cos: 0.03926992416381836
Norm Quadratic Average: 3.923123949789442e-05
Nearest Class Center Accuracy: 0.369375

Test Set:
Average Loss: 1.3874994163513183
Accuracy: 0.257
NC1 Within Class Collapse: 80.24455261230469
NC2 Equinorm: Features: 0.1520867645740509, Weights: 0.022695904597640038
NC2 Equiangle: Features: 0.41552146275838214, Weights: 0.34245117505391437
NC3 Self-Duality: 1.8775438070297241
NC4 NCC Mismatch: 0.7384999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.189847946166992
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.103370666503906
Linear Weight Rank: 180
Intra Cos: 0.05805312469601631
Inter Cos: 0.007209625095129013
Norm Quadratic Average: 4.879599094390869
Nearest Class Center Accuracy: 0.84

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.095574378967285
Linear Weight Rank: 180
Intra Cos: 0.0447845533490181
Inter Cos: 0.009181316941976547
Norm Quadratic Average: 1.7616416215896606
Nearest Class Center Accuracy: 0.742

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148903846740723
Linear Weight Rank: 179
Intra Cos: 0.03753010556101799
Inter Cos: 0.004066512919962406
Norm Quadratic Average: 0.6519356369972229
Nearest Class Center Accuracy: 0.6535

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111281394958496
Linear Weight Rank: 180
Intra Cos: 0.030485324561595917
Inter Cos: 0.005729615222662687
Norm Quadratic Average: 0.2450573444366455
Nearest Class Center Accuracy: 0.607

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.11707878112793
Linear Weight Rank: 180
Intra Cos: 0.03580470755696297
Inter Cos: 0.0061765010468661785
Norm Quadratic Average: 0.09823904186487198
Nearest Class Center Accuracy: 0.612

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.148889541625977
Linear Weight Rank: 180
Intra Cos: 0.03366483002901077
Inter Cos: 0.0077571868896484375
Norm Quadratic Average: 0.04020131379365921
Nearest Class Center Accuracy: 0.583

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.128026962280273
Linear Weight Rank: 179
Intra Cos: 0.031183600425720215
Inter Cos: 0.006255641113966703
Norm Quadratic Average: 0.016928313300013542
Nearest Class Center Accuracy: 0.546

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150924682617188
Linear Weight Rank: 179
Intra Cos: 0.02027338743209839
Inter Cos: 0.00608404166996479
Norm Quadratic Average: 0.006908275652676821
Nearest Class Center Accuracy: 0.508

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.098517417907715
Linear Weight Rank: 180
Intra Cos: 0.02298622950911522
Inter Cos: 0.004870921839028597
Norm Quadratic Average: 0.0027604526840150356
Nearest Class Center Accuracy: 0.492

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142148971557617
Linear Weight Rank: 180
Intra Cos: 0.024281105026602745
Inter Cos: 0.00704860407859087
Norm Quadratic Average: 0.0011332689318805933
Nearest Class Center Accuracy: 0.49

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1484454870224
Linear Weight Rank: 4
Intra Cos: 0.02636939473450184
Inter Cos: 0.015814004465937614
Norm Quadratic Average: 0.0004640527768060565
Nearest Class Center Accuracy: 0.473

Output Layer:
Intra Cos: 0.015260695479810238
Inter Cos: 0.029040943831205368
Norm Quadratic Average: 3.8621859857812524e-05
Nearest Class Center Accuracy: 0.351

