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_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.003752708435059
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584841698408127
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: 7.970147132873535
Linear Weight Rank: 180
Intra Cos: 0.06234763190150261
Inter Cos: 0.001514105824753642
Norm Quadratic Average: 4.680345058441162
Nearest Class Center Accuracy: 0.798625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945934295654297
Linear Weight Rank: 180
Intra Cos: 0.042644210159778595
Inter Cos: 0.010259486734867096
Norm Quadratic Average: 1.6008212566375732
Nearest Class Center Accuracy: 0.725125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.933435916900635
Linear Weight Rank: 179
Intra Cos: 0.035485778003931046
Inter Cos: 0.008906292729079723
Norm Quadratic Average: 0.5777506232261658
Nearest Class Center Accuracy: 0.62725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956438064575195
Linear Weight Rank: 180
Intra Cos: 0.038715116679668427
Inter Cos: 0.004742123652249575
Norm Quadratic Average: 0.21164561808109283
Nearest Class Center Accuracy: 0.589375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966676712036133
Linear Weight Rank: 179
Intra Cos: 0.033631179481744766
Inter Cos: 0.006151062436401844
Norm Quadratic Average: 0.08322545886039734
Nearest Class Center Accuracy: 0.57

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949838161468506
Linear Weight Rank: 180
Intra Cos: 0.029059957712888718
Inter Cos: 0.015062599442899227
Norm Quadratic Average: 0.03374963998794556
Nearest Class Center Accuracy: 0.530625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972870826721191
Linear Weight Rank: 179
Intra Cos: 0.031229190528392792
Inter Cos: 0.017034882679581642
Norm Quadratic Average: 0.012679053470492363
Nearest Class Center Accuracy: 0.47675

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969517707824707
Linear Weight Rank: 179
Intra Cos: 0.03148311749100685
Inter Cos: 0.018976377323269844
Norm Quadratic Average: 0.005240821745246649
Nearest Class Center Accuracy: 0.465375

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952009201049805
Linear Weight Rank: 180
Intra Cos: 0.030662626028060913
Inter Cos: 0.012674911879003048
Norm Quadratic Average: 0.002160153118893504
Nearest Class Center Accuracy: 0.4445

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964786052703857
Linear Weight Rank: 180
Intra Cos: 0.027835484594106674
Inter Cos: 0.013426465913653374
Norm Quadratic Average: 0.0009549703681841493
Nearest Class Center Accuracy: 0.418625

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1123672723770142
Linear Weight Rank: 4
Intra Cos: 0.024533579126000404
Inter Cos: 0.017865467816591263
Norm Quadratic Average: 0.0003635433968156576
Nearest Class Center Accuracy: 0.399625

Output Layer:
Intra Cos: 0.013658085837960243
Inter Cos: 0.016185332089662552
Norm Quadratic Average: 2.8893424314446747e-05
Nearest Class Center Accuracy: 0.309

Test Set:
Average Loss: 1.3875001220703125
Accuracy: 0.257
NC1 Within Class Collapse: 135.13241577148438
NC2 Equinorm: Features: 0.19025465846061707, Weights: 0.017538366839289665
NC2 Equiangle: Features: 0.4702224334081014, Weights: 0.3183521827061971
NC3 Self-Duality: 1.9829866886138916
NC4 NCC Mismatch: 0.8205

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.003752708435059
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: 7.970147132873535
Linear Weight Rank: 180
Intra Cos: 0.06408853828907013
Inter Cos: 0.005094489082694054
Norm Quadratic Average: 4.6719536781311035
Nearest Class Center Accuracy: 0.805

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.945934295654297
Linear Weight Rank: 180
Intra Cos: 0.04336526244878769
Inter Cos: 0.011805985122919083
Norm Quadratic Average: 1.5966638326644897
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.933435916900635
Linear Weight Rank: 179
Intra Cos: 0.03465665504336357
Inter Cos: 0.010640368796885014
Norm Quadratic Average: 0.5758435130119324
Nearest Class Center Accuracy: 0.6335

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.956438064575195
Linear Weight Rank: 180
Intra Cos: 0.04093686491250992
Inter Cos: 0.005327272694557905
Norm Quadratic Average: 0.21151228249073029
Nearest Class Center Accuracy: 0.612

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.966676712036133
Linear Weight Rank: 179
Intra Cos: 0.03041631355881691
Inter Cos: 0.007243957370519638
Norm Quadratic Average: 0.0831444039940834
Nearest Class Center Accuracy: 0.586

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.949838161468506
Linear Weight Rank: 180
Intra Cos: 0.024249136447906494
Inter Cos: 0.01646377332508564
Norm Quadratic Average: 0.03367902338504791
Nearest Class Center Accuracy: 0.557

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.972870826721191
Linear Weight Rank: 179
Intra Cos: 0.024483803659677505
Inter Cos: 0.01569678820669651
Norm Quadratic Average: 0.012658744119107723
Nearest Class Center Accuracy: 0.503

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.969517707824707
Linear Weight Rank: 179
Intra Cos: 0.029118388891220093
Inter Cos: 0.018249083310365677
Norm Quadratic Average: 0.005230311769992113
Nearest Class Center Accuracy: 0.4975

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.952009201049805
Linear Weight Rank: 180
Intra Cos: 0.02392762154340744
Inter Cos: 0.012461990118026733
Norm Quadratic Average: 0.002150114858523011
Nearest Class Center Accuracy: 0.4705

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964786052703857
Linear Weight Rank: 180
Intra Cos: 0.02274079993367195
Inter Cos: 0.012237397953867912
Norm Quadratic Average: 0.0009505981579422951
Nearest Class Center Accuracy: 0.429

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1123672723770142
Linear Weight Rank: 4
Intra Cos: 0.024184145033359528
Inter Cos: 0.015884270891547203
Norm Quadratic Average: 0.00036241119960322976
Nearest Class Center Accuracy: 0.4225

Output Layer:
Intra Cos: 0.009826007299125195
Inter Cos: 0.015605665743350983
Norm Quadratic Average: 2.905757719418034e-05
Nearest Class Center Accuracy: 0.3005

