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_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.127833843231201
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: 5.260868549346924
Linear Weight Rank: 180
Intra Cos: 0.02560117095708847
Inter Cos: -0.004042650572955608
Norm Quadratic Average: 8.777605056762695
Nearest Class Center Accuracy: 0.57825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.192497253417969
Linear Weight Rank: 179
Intra Cos: 0.03137940913438797
Inter Cos: -0.004292609170079231
Norm Quadratic Average: 8.751912117004395
Nearest Class Center Accuracy: 0.633

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.173708915710449
Linear Weight Rank: 179
Intra Cos: 0.0371059812605381
Inter Cos: -0.0046837953850626945
Norm Quadratic Average: 8.730384826660156
Nearest Class Center Accuracy: 0.714625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.112075328826904
Linear Weight Rank: 180
Intra Cos: 0.053598690778017044
Inter Cos: -0.010560402646660805
Norm Quadratic Average: 8.722757339477539
Nearest Class Center Accuracy: 0.804375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.083024501800537
Linear Weight Rank: 179
Intra Cos: 0.06485220789909363
Inter Cos: -0.01798272877931595
Norm Quadratic Average: 8.709566116333008
Nearest Class Center Accuracy: 0.91275

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.081745147705078
Linear Weight Rank: 179
Intra Cos: 0.11573687940835953
Inter Cos: -0.028777889907360077
Norm Quadratic Average: 8.716399192810059
Nearest Class Center Accuracy: 0.9895

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060243129730225
Linear Weight Rank: 179
Intra Cos: 0.24469822645187378
Inter Cos: -0.06199958175420761
Norm Quadratic Average: 8.72358226776123
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.948965311050415
Linear Weight Rank: 4
Intra Cos: 0.5863778591156006
Inter Cos: -0.1518748253583908
Norm Quadratic Average: 8.965177536010742
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9610094428062439
Inter Cos: -0.20680300891399384
Norm Quadratic Average: 7.506277084350586
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.0114240894317628
Accuracy: 0.714
NC1 Within Class Collapse: 3.5261220932006836
NC2 Equinorm: Features: 0.057247474789619446, Weights: 0.02970260940492153
NC2 Equiangle: Features: 0.07413650055726369, Weights: 0.04356969892978668
NC3 Self-Duality: 0.14678972959518433
NC4 NCC Mismatch: 0.024499999999999966

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.127833843231201
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: 5.260868549346924
Linear Weight Rank: 180
Intra Cos: 0.02392806112766266
Inter Cos: -0.002720929915085435
Norm Quadratic Average: 8.779748916625977
Nearest Class Center Accuracy: 0.5935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.192497253417969
Linear Weight Rank: 179
Intra Cos: 0.027683373540639877
Inter Cos: -0.0021072630770504475
Norm Quadratic Average: 8.724608421325684
Nearest Class Center Accuracy: 0.6175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.173708915710449
Linear Weight Rank: 179
Intra Cos: 0.028455236926674843
Inter Cos: -0.003889097599312663
Norm Quadratic Average: 8.706550598144531
Nearest Class Center Accuracy: 0.6435

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.112075328826904
Linear Weight Rank: 180
Intra Cos: 0.03762994706630707
Inter Cos: -0.008232510648667812
Norm Quadratic Average: 8.660211563110352
Nearest Class Center Accuracy: 0.677

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.083024501800537
Linear Weight Rank: 179
Intra Cos: 0.04004577174782753
Inter Cos: -0.006682545877993107
Norm Quadratic Average: 8.5938081741333
Nearest Class Center Accuracy: 0.6965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.081745147705078
Linear Weight Rank: 179
Intra Cos: 0.055934879928827286
Inter Cos: -0.010066206566989422
Norm Quadratic Average: 8.487093925476074
Nearest Class Center Accuracy: 0.7055

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.060243129730225
Linear Weight Rank: 179
Intra Cos: 0.09360558539628983
Inter Cos: -0.02011830359697342
Norm Quadratic Average: 8.230499267578125
Nearest Class Center Accuracy: 0.716

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.948965311050415
Linear Weight Rank: 4
Intra Cos: 0.20480376482009888
Inter Cos: -0.04378373548388481
Norm Quadratic Average: 7.883886337280273
Nearest Class Center Accuracy: 0.7205

Output Layer:
Intra Cos: 0.41255176067352295
Inter Cos: -0.08927309513092041
Norm Quadratic Average: 6.095074653625488
Nearest Class Center Accuracy: 0.718

