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_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.218372344970703
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: 8.297341346740723
Linear Weight Rank: 180
Intra Cos: 0.024975866079330444
Inter Cos: -0.004297850653529167
Norm Quadratic Average: 14.119111061096191
Nearest Class Center Accuracy: 0.5755

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.231935501098633
Linear Weight Rank: 179
Intra Cos: 0.028643829748034477
Inter Cos: -0.004407776519656181
Norm Quadratic Average: 14.079663276672363
Nearest Class Center Accuracy: 0.626

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.240897178649902
Linear Weight Rank: 179
Intra Cos: 0.03384614363312721
Inter Cos: -0.004949610214680433
Norm Quadratic Average: 14.054837226867676
Nearest Class Center Accuracy: 0.691875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.171745300292969
Linear Weight Rank: 180
Intra Cos: 0.047460705041885376
Inter Cos: -0.008812460117042065
Norm Quadratic Average: 14.045356750488281
Nearest Class Center Accuracy: 0.774875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151894569396973
Linear Weight Rank: 179
Intra Cos: 0.054590728133916855
Inter Cos: -0.013493523001670837
Norm Quadratic Average: 14.017838478088379
Nearest Class Center Accuracy: 0.89

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.166641235351562
Linear Weight Rank: 179
Intra Cos: 0.08863377571105957
Inter Cos: -0.019500404596328735
Norm Quadratic Average: 14.014676094055176
Nearest Class Center Accuracy: 0.97525

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13752555847168
Linear Weight Rank: 179
Intra Cos: 0.15074682235717773
Inter Cos: -0.03588321432471275
Norm Quadratic Average: 14.006367683410645
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3751938343048096
Linear Weight Rank: 4
Intra Cos: 0.34304702281951904
Inter Cos: -0.08606692403554916
Norm Quadratic Average: 14.207934379577637
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9150351881980896
Inter Cos: -0.18235716223716736
Norm Quadratic Average: 11.401108741760254
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3571223373413086
Accuracy: 0.7095
NC1 Within Class Collapse: 3.974081516265869
NC2 Equinorm: Features: 0.055445559322834015, Weights: 0.026657959446310997
NC2 Equiangle: Features: 0.09912286202112834, Weights: 0.074367622534434
NC3 Self-Duality: 0.2015412449836731
NC4 NCC Mismatch: 0.04149999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.218372344970703
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: 8.297341346740723
Linear Weight Rank: 180
Intra Cos: 0.023348368704319
Inter Cos: -0.0031656483188271523
Norm Quadratic Average: 14.120575904846191
Nearest Class Center Accuracy: 0.593

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.231935501098633
Linear Weight Rank: 179
Intra Cos: 0.025504613295197487
Inter Cos: -0.002535649109631777
Norm Quadratic Average: 14.038737297058105
Nearest Class Center Accuracy: 0.6145

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.240897178649902
Linear Weight Rank: 179
Intra Cos: 0.027119990438222885
Inter Cos: -0.005103186704218388
Norm Quadratic Average: 14.025808334350586
Nearest Class Center Accuracy: 0.632

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.171745300292969
Linear Weight Rank: 180
Intra Cos: 0.03376805782318115
Inter Cos: -0.0075053260661661625
Norm Quadratic Average: 13.970829010009766
Nearest Class Center Accuracy: 0.666

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151894569396973
Linear Weight Rank: 179
Intra Cos: 0.03685127943754196
Inter Cos: -0.0070581515319645405
Norm Quadratic Average: 13.871569633483887
Nearest Class Center Accuracy: 0.688

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.166641235351562
Linear Weight Rank: 179
Intra Cos: 0.04568316042423248
Inter Cos: -0.008558756671845913
Norm Quadratic Average: 13.723403930664062
Nearest Class Center Accuracy: 0.707

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.13752555847168
Linear Weight Rank: 179
Intra Cos: 0.06323593854904175
Inter Cos: -0.013288521207869053
Norm Quadratic Average: 13.464792251586914
Nearest Class Center Accuracy: 0.713

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3751938343048096
Linear Weight Rank: 4
Intra Cos: 0.1219181939959526
Inter Cos: -0.02607104554772377
Norm Quadratic Average: 13.121578216552734
Nearest Class Center Accuracy: 0.707

Output Layer:
Intra Cos: 0.3849518597126007
Inter Cos: -0.07062394171953201
Norm Quadratic Average: 9.559905052185059
Nearest Class Center Accuracy: 0.706

