Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.04.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0390770435333252
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0408953428268433
Linear Weight Rank: 179
Intra Cos: 0.06366501748561859
Inter Cos: 0.007520665880292654
Norm Quadratic Average: 0.619175136089325
Nearest Class Center Accuracy: 0.823125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0433756113052368
Linear Weight Rank: 179
Intra Cos: 0.05502598360180855
Inter Cos: 0.004827548749744892
Norm Quadratic Average: 0.029162177816033363
Nearest Class Center Accuracy: 0.723125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0359547138214111
Linear Weight Rank: 179
Intra Cos: 0.04730508476495743
Inter Cos: 0.002818567445501685
Norm Quadratic Average: 0.001507523120380938
Nearest Class Center Accuracy: 0.677625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.037132740020752
Linear Weight Rank: 180
Intra Cos: 0.04955335706472397
Inter Cos: 0.0071275001391768456
Norm Quadratic Average: 7.862924394430593e-05
Nearest Class Center Accuracy: 0.666

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1502472311258316
Linear Weight Rank: 4
Intra Cos: 0.056248050183057785
Inter Cos: 0.009126701392233372
Norm Quadratic Average: 4.27337727160193e-06
Nearest Class Center Accuracy: 0.646

Output Layer:
Intra Cos: 0.18532206118106842
Inter Cos: 0.5108168125152588
Norm Quadratic Average: 6.997257884222563e-08
Nearest Class Center Accuracy: 0.539875

Test Set:
Average Loss: 1.3870639266967772
Accuracy: 0.257
NC1 Within Class Collapse: 56.19189453125
NC2 Equinorm: Features: 0.05380649119615555, Weights: 0.03351115435361862
NC2 Equiangle: Features: 0.4221315383911133, Weights: 0.32462310791015625
NC3 Self-Duality: 1.517874836921692
NC4 NCC Mismatch: 0.777

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.0390770435333252
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0408953428268433
Linear Weight Rank: 179
Intra Cos: 0.06337352097034454
Inter Cos: 0.009279235266149044
Norm Quadratic Average: 0.6183356642723083
Nearest Class Center Accuracy: 0.8245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0433756113052368
Linear Weight Rank: 179
Intra Cos: 0.05280408635735512
Inter Cos: 0.006256684195250273
Norm Quadratic Average: 0.02913549728691578
Nearest Class Center Accuracy: 0.7355

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0359547138214111
Linear Weight Rank: 179
Intra Cos: 0.044896841049194336
Inter Cos: 0.005533297546207905
Norm Quadratic Average: 0.0015058720018714666
Nearest Class Center Accuracy: 0.695

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.037132740020752
Linear Weight Rank: 180
Intra Cos: 0.04576962813735008
Inter Cos: 0.010017930530011654
Norm Quadratic Average: 7.856721640564501e-05
Nearest Class Center Accuracy: 0.6725

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.1502472311258316
Linear Weight Rank: 4
Intra Cos: 0.05288619548082352
Inter Cos: 0.011094116605818272
Norm Quadratic Average: 4.277398602425819e-06
Nearest Class Center Accuracy: 0.6645

Output Layer:
Intra Cos: 0.19947658479213715
Inter Cos: 0.20796836912631989
Norm Quadratic Average: 6.141720376717785e-08
Nearest Class Center Accuracy: 0.555

