Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.086583137512207
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 8.267154693603516
Linear Weight Rank: 180
Intra Cos: 0.02572260983288288
Inter Cos: -0.0030193303246051073
Norm Quadratic Average: 13.982364654541016
Nearest Class Center Accuracy: 0.58675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.221236228942871
Linear Weight Rank: 179
Intra Cos: 0.02536494843661785
Inter Cos: -0.0020188360940665007
Norm Quadratic Average: 13.96154499053955
Nearest Class Center Accuracy: 0.626625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120128631591797
Linear Weight Rank: 180
Intra Cos: 0.029787903651595116
Inter Cos: -0.004303258843719959
Norm Quadratic Average: 13.916389465332031
Nearest Class Center Accuracy: 0.694875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.094693183898926
Linear Weight Rank: 180
Intra Cos: 0.03927160054445267
Inter Cos: -0.01010669395327568
Norm Quadratic Average: 13.891807556152344
Nearest Class Center Accuracy: 0.77175

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089509010314941
Linear Weight Rank: 180
Intra Cos: 0.05168573930859566
Inter Cos: -0.01378116849809885
Norm Quadratic Average: 13.847820281982422
Nearest Class Center Accuracy: 0.8815

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050992012023926
Linear Weight Rank: 180
Intra Cos: 0.08478653430938721
Inter Cos: -0.02089138701558113
Norm Quadratic Average: 13.824199676513672
Nearest Class Center Accuracy: 0.972625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036529541015625
Linear Weight Rank: 179
Intra Cos: 0.1703079342842102
Inter Cos: -0.04216358810663223
Norm Quadratic Average: 13.814661026000977
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3368942737579346
Linear Weight Rank: 4
Intra Cos: 0.3623011112213135
Inter Cos: -0.10989830642938614
Norm Quadratic Average: 14.011979103088379
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9184074401855469
Inter Cos: -0.22346247732639313
Norm Quadratic Average: 11.302289009094238
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.358074489593506
Accuracy: 0.7035
NC1 Within Class Collapse: 3.990954875946045
NC2 Equinorm: Features: 0.05026217922568321, Weights: 0.030348587781190872
NC2 Equiangle: Features: 0.0710975577433904, Weights: 0.08801101644833882
NC3 Self-Duality: 0.19621318578720093
NC4 NCC Mismatch: 0.03849999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.086583137512207
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
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: 8.267154693603516
Linear Weight Rank: 180
Intra Cos: 0.02448701113462448
Inter Cos: -0.0022588956635445356
Norm Quadratic Average: 14.0439453125
Nearest Class Center Accuracy: 0.5765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.221236228942871
Linear Weight Rank: 179
Intra Cos: 0.02284005656838417
Inter Cos: -0.0012944848276674747
Norm Quadratic Average: 13.993541717529297
Nearest Class Center Accuracy: 0.613

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.120128631591797
Linear Weight Rank: 180
Intra Cos: 0.025825191289186478
Inter Cos: -0.0035351566039025784
Norm Quadratic Average: 13.885939598083496
Nearest Class Center Accuracy: 0.6655

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.094693183898926
Linear Weight Rank: 180
Intra Cos: 0.029787182807922363
Inter Cos: -0.00597652280703187
Norm Quadratic Average: 13.779257774353027
Nearest Class Center Accuracy: 0.68

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.089509010314941
Linear Weight Rank: 180
Intra Cos: 0.03141764923930168
Inter Cos: -0.006186544429510832
Norm Quadratic Average: 13.641885757446289
Nearest Class Center Accuracy: 0.6955

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050992012023926
Linear Weight Rank: 180
Intra Cos: 0.040786538273096085
Inter Cos: -0.006186762358993292
Norm Quadratic Average: 13.519124031066895
Nearest Class Center Accuracy: 0.699

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.036529541015625
Linear Weight Rank: 179
Intra Cos: 0.06587515026330948
Inter Cos: -0.014457959681749344
Norm Quadratic Average: 13.238992691040039
Nearest Class Center Accuracy: 0.714

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3368942737579346
Linear Weight Rank: 4
Intra Cos: 0.12066810578107834
Inter Cos: -0.030285386368632317
Norm Quadratic Average: 12.908199310302734
Nearest Class Center Accuracy: 0.707

Output Layer:
Intra Cos: 0.3649415969848633
Inter Cos: -0.0829802006483078
Norm Quadratic Average: 9.520040512084961
Nearest Class Center Accuracy: 0.7035

