Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.88295316696167
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 5.820970058441162
Linear Weight Rank: 180
Intra Cos: 0.023459207266569138
Inter Cos: -0.004868477117270231
Norm Quadratic Average: 3.5133936405181885
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.815364837646484
Linear Weight Rank: 180
Intra Cos: 0.02212916500866413
Inter Cos: -0.00271887076087296
Norm Quadratic Average: 0.9139963388442993
Nearest Class Center Accuracy: 0.5315

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853682994842529
Linear Weight Rank: 179
Intra Cos: 0.01796197146177292
Inter Cos: -0.0026896842755377293
Norm Quadratic Average: 0.24430540204048157
Nearest Class Center Accuracy: 0.50675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826679229736328
Linear Weight Rank: 180
Intra Cos: 0.016998345032334328
Inter Cos: 0.0010722402948886156
Norm Quadratic Average: 0.06899028271436691
Nearest Class Center Accuracy: 0.488

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830846786499023
Linear Weight Rank: 180
Intra Cos: 0.015546819195151329
Inter Cos: -0.0015814824728295207
Norm Quadratic Average: 0.020122718065977097
Nearest Class Center Accuracy: 0.4655

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853775978088379
Linear Weight Rank: 180
Intra Cos: 0.017889659851789474
Inter Cos: -0.0007019987679086626
Norm Quadratic Average: 0.005987946875393391
Nearest Class Center Accuracy: 0.446625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.838869571685791
Linear Weight Rank: 179
Intra Cos: 0.022971736267209053
Inter Cos: 1.5959280062816106e-05
Norm Quadratic Average: 0.001781475031748414
Nearest Class Center Accuracy: 0.434125

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8604244589805603
Linear Weight Rank: 4
Intra Cos: 0.02315490134060383
Inter Cos: 0.0016671838238835335
Norm Quadratic Average: 0.0005020051612518728
Nearest Class Center Accuracy: 0.43125

Output Layer:
Intra Cos: 0.020150819793343544
Inter Cos: 0.020096801221370697
Norm Quadratic Average: 3.0998169677332044e-05
Nearest Class Center Accuracy: 0.342625

Test Set:
Average Loss: 1.3866355895996094
Accuracy: 0.255
NC1 Within Class Collapse: 30.622142791748047
NC2 Equinorm: Features: 0.22341637313365936, Weights: 0.02611282840371132
NC2 Equiangle: Features: 0.20553282896677652, Weights: 0.29213905334472656
NC3 Self-Duality: 1.8101738691329956
NC4 NCC Mismatch: 0.794

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.88295316696167
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.820970058441162
Linear Weight Rank: 180
Intra Cos: 0.022196026518940926
Inter Cos: -0.00426434725522995
Norm Quadratic Average: 3.5050148963928223
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.815364837646484
Linear Weight Rank: 180
Intra Cos: 0.02120039239525795
Inter Cos: -0.0037214201875030994
Norm Quadratic Average: 0.9088869690895081
Nearest Class Center Accuracy: 0.5395

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853682994842529
Linear Weight Rank: 179
Intra Cos: 0.016686275601387024
Inter Cos: -0.0024194198194891214
Norm Quadratic Average: 0.2428184300661087
Nearest Class Center Accuracy: 0.5075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.826679229736328
Linear Weight Rank: 180
Intra Cos: 0.01505556795746088
Inter Cos: 0.0002719697367865592
Norm Quadratic Average: 0.06841287761926651
Nearest Class Center Accuracy: 0.496

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.830846786499023
Linear Weight Rank: 180
Intra Cos: 0.013037287630140781
Inter Cos: -0.0015305212000384927
Norm Quadratic Average: 0.01994219422340393
Nearest Class Center Accuracy: 0.4805

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.853775978088379
Linear Weight Rank: 180
Intra Cos: 0.014275624416768551
Inter Cos: -0.002328829374164343
Norm Quadratic Average: 0.005927631631493568
Nearest Class Center Accuracy: 0.457

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.838869571685791
Linear Weight Rank: 179
Intra Cos: 0.01846097595989704
Inter Cos: 0.0010431621922180057
Norm Quadratic Average: 0.00176434894092381
Nearest Class Center Accuracy: 0.44

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8604244589805603
Linear Weight Rank: 4
Intra Cos: 0.017759542912244797
Inter Cos: 0.002063618740066886
Norm Quadratic Average: 0.0004992965841665864
Nearest Class Center Accuracy: 0.435

Output Layer:
Intra Cos: 0.014774319715797901
Inter Cos: 0.013697801157832146
Norm Quadratic Average: 3.0827621230855584e-05
Nearest Class Center Accuracy: 0.3335

