Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.186586380004883
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.54428482055664
Linear Weight Rank: 179
Intra Cos: 0.013013998046517372
Inter Cos: 0.004702075384557247
Norm Quadratic Average: 14.034431457519531
Nearest Class Center Accuracy: 0.45875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.452207565307617
Linear Weight Rank: 179
Intra Cos: 0.012364006601274014
Inter Cos: 0.002768712118268013
Norm Quadratic Average: 14.01033878326416
Nearest Class Center Accuracy: 0.49125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31824779510498
Linear Weight Rank: 179
Intra Cos: 0.012956390157341957
Inter Cos: 0.0025844601914286613
Norm Quadratic Average: 13.967058181762695
Nearest Class Center Accuracy: 0.517625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.261857986450195
Linear Weight Rank: 180
Intra Cos: 0.01791956275701523
Inter Cos: 0.0020274524576961994
Norm Quadratic Average: 13.978182792663574
Nearest Class Center Accuracy: 0.583875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.225811004638672
Linear Weight Rank: 179
Intra Cos: 0.026050452142953873
Inter Cos: 0.003719988279044628
Norm Quadratic Average: 13.977797508239746
Nearest Class Center Accuracy: 0.692625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.156011581420898
Linear Weight Rank: 180
Intra Cos: 0.03948907554149628
Inter Cos: -0.0031967710237950087
Norm Quadratic Average: 13.993345260620117
Nearest Class Center Accuracy: 0.871625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122343063354492
Linear Weight Rank: 180
Intra Cos: 0.09024779498577118
Inter Cos: -0.0181767325848341
Norm Quadratic Average: 14.049094200134277
Nearest Class Center Accuracy: 0.997375

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6464829444885254
Linear Weight Rank: 4
Intra Cos: 0.24794504046440125
Inter Cos: -0.06791569292545319
Norm Quadratic Average: 14.417974472045898
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9083081483840942
Inter Cos: -0.21140937507152557
Norm Quadratic Average: 11.299539566040039
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.5924690017700196
Accuracy: 0.5065
NC1 Within Class Collapse: 14.941930770874023
NC2 Equinorm: Features: 0.06160051003098488, Weights: 0.041863471269607544
NC2 Equiangle: Features: 0.2849424481391907, Weights: 0.0697508951028188
NC3 Self-Duality: 0.26850107312202454
NC4 NCC Mismatch: 0.09399999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.186586380004883
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.54428482055664
Linear Weight Rank: 179
Intra Cos: 0.01429223082959652
Inter Cos: 0.004678232595324516
Norm Quadratic Average: 13.985947608947754
Nearest Class Center Accuracy: 0.4625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.452207565307617
Linear Weight Rank: 179
Intra Cos: 0.01247145514935255
Inter Cos: 0.003025779966264963
Norm Quadratic Average: 13.994443893432617
Nearest Class Center Accuracy: 0.488

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.31824779510498
Linear Weight Rank: 179
Intra Cos: 0.011035250499844551
Inter Cos: 0.003379254601895809
Norm Quadratic Average: 13.948214530944824
Nearest Class Center Accuracy: 0.497

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.261857986450195
Linear Weight Rank: 180
Intra Cos: 0.01184562686830759
Inter Cos: 0.002451525768265128
Norm Quadratic Average: 13.944357872009277
Nearest Class Center Accuracy: 0.5045

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.225811004638672
Linear Weight Rank: 179
Intra Cos: 0.011924718506634235
Inter Cos: 0.004765300080180168
Norm Quadratic Average: 13.832900047302246
Nearest Class Center Accuracy: 0.508

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.156011581420898
Linear Weight Rank: 180
Intra Cos: 0.011183638125658035
Inter Cos: 0.003956113010644913
Norm Quadratic Average: 13.734352111816406
Nearest Class Center Accuracy: 0.526

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122343063354492
Linear Weight Rank: 180
Intra Cos: 0.016283337026834488
Inter Cos: 0.003274640766903758
Norm Quadratic Average: 13.438494682312012
Nearest Class Center Accuracy: 0.5335

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6464829444885254
Linear Weight Rank: 4
Intra Cos: 0.03017006441950798
Inter Cos: 0.005595067515969276
Norm Quadratic Average: 12.943339347839355
Nearest Class Center Accuracy: 0.523

Output Layer:
Intra Cos: 0.11317401379346848
Inter Cos: 0.018987277522683144
Norm Quadratic Average: 8.420787811279297
Nearest Class Center Accuracy: 0.51

