Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_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: 8.161587715148926
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.0062224422581493855
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.341925621032715
Linear Weight Rank: 180
Intra Cos: 0.025717657059431076
Inter Cos: -0.0032774615101516247
Norm Quadratic Average: 14.088918685913086
Nearest Class Center Accuracy: 0.58575

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.296037673950195
Linear Weight Rank: 179
Intra Cos: 0.026400862261652946
Inter Cos: -0.0028743415605276823
Norm Quadratic Average: 14.079573631286621
Nearest Class Center Accuracy: 0.623

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.19478988647461
Linear Weight Rank: 179
Intra Cos: 0.03164349123835564
Inter Cos: -0.005328875966370106
Norm Quadratic Average: 14.033368110656738
Nearest Class Center Accuracy: 0.686125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169837951660156
Linear Weight Rank: 180
Intra Cos: 0.03998924791812897
Inter Cos: -0.009628000669181347
Norm Quadratic Average: 14.020852088928223
Nearest Class Center Accuracy: 0.768

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1647367477417
Linear Weight Rank: 179
Intra Cos: 0.05591035634279251
Inter Cos: -0.012437340803444386
Norm Quadratic Average: 14.027099609375
Nearest Class Center Accuracy: 0.887375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126004219055176
Linear Weight Rank: 180
Intra Cos: 0.09141363203525543
Inter Cos: -0.019543731585144997
Norm Quadratic Average: 14.038250923156738
Nearest Class Center Accuracy: 0.975875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111247062683105
Linear Weight Rank: 179
Intra Cos: 0.17883554100990295
Inter Cos: -0.04549003392457962
Norm Quadratic Average: 14.054563522338867
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3587965965270996
Linear Weight Rank: 4
Intra Cos: 0.37448224425315857
Inter Cos: -0.11593837291002274
Norm Quadratic Average: 14.2532320022583
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.923071563243866
Inter Cos: -0.23057407140731812
Norm Quadratic Average: 11.653402328491211
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3775291404724122
Accuracy: 0.693
NC1 Within Class Collapse: 4.0146894454956055
NC2 Equinorm: Features: 0.05324883013963699, Weights: 0.03511340916156769
NC2 Equiangle: Features: 0.08894677956899007, Weights: 0.08792854348818462
NC3 Self-Duality: 0.19908840954303741
NC4 NCC Mismatch: 0.03200000000000003

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.161587715148926
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549723584204912
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: 8.341925621032715
Linear Weight Rank: 180
Intra Cos: 0.024485424160957336
Inter Cos: -0.0025195605121552944
Norm Quadratic Average: 14.150399208068848
Nearest Class Center Accuracy: 0.5795

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.296037673950195
Linear Weight Rank: 179
Intra Cos: 0.02387273870408535
Inter Cos: -0.0020514940842986107
Norm Quadratic Average: 14.111710548400879
Nearest Class Center Accuracy: 0.6145

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.19478988647461
Linear Weight Rank: 179
Intra Cos: 0.027234436944127083
Inter Cos: -0.004246875643730164
Norm Quadratic Average: 13.998233795166016
Nearest Class Center Accuracy: 0.658

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.169837951660156
Linear Weight Rank: 180
Intra Cos: 0.029305454343557358
Inter Cos: -0.005922193173319101
Norm Quadratic Average: 13.900344848632812
Nearest Class Center Accuracy: 0.6655

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.1647367477417
Linear Weight Rank: 179
Intra Cos: 0.03276592865586281
Inter Cos: -0.007089839782565832
Norm Quadratic Average: 13.804106712341309
Nearest Class Center Accuracy: 0.696

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126004219055176
Linear Weight Rank: 180
Intra Cos: 0.04209110513329506
Inter Cos: -0.007067721337080002
Norm Quadratic Average: 13.683073997497559
Nearest Class Center Accuracy: 0.7015

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.111247062683105
Linear Weight Rank: 179
Intra Cos: 0.06578680127859116
Inter Cos: -0.012688064947724342
Norm Quadratic Average: 13.4490327835083
Nearest Class Center Accuracy: 0.7125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3587965965270996
Linear Weight Rank: 4
Intra Cos: 0.1211557388305664
Inter Cos: -0.0308670736849308
Norm Quadratic Average: 13.073688507080078
Nearest Class Center Accuracy: 0.702

Output Layer:
Intra Cos: 0.36970943212509155
Inter Cos: -0.08763466775417328
Norm Quadratic Average: 9.734517097473145
Nearest Class Center Accuracy: 0.6965

