Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.770343780517578
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: 7.8193583488464355
Linear Weight Rank: 179
Intra Cos: 0.07922789454460144
Inter Cos: 0.006655422039330006
Norm Quadratic Average: 13.479083061218262
Nearest Class Center Accuracy: 0.87

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.816152572631836
Linear Weight Rank: 179
Intra Cos: 0.1135038509964943
Inter Cos: 0.008776068687438965
Norm Quadratic Average: 13.433513641357422
Nearest Class Center Accuracy: 0.909625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7478179931640625
Linear Weight Rank: 180
Intra Cos: 0.13727383315563202
Inter Cos: 0.001116377068683505
Norm Quadratic Average: 13.391707420349121
Nearest Class Center Accuracy: 0.954

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.749720573425293
Linear Weight Rank: 179
Intra Cos: 0.19998113811016083
Inter Cos: -0.009505356661975384
Norm Quadratic Average: 13.3540678024292
Nearest Class Center Accuracy: 0.99675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4085798263549805
Linear Weight Rank: 4
Intra Cos: 0.3652854263782501
Inter Cos: -0.046740539371967316
Norm Quadratic Average: 13.495084762573242
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9222497344017029
Inter Cos: -0.08438965678215027
Norm Quadratic Average: 11.67017936706543
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.28433172798156736
Accuracy: 0.9
NC1 Within Class Collapse: 1.291688323020935
NC2 Equinorm: Features: 0.016056794673204422, Weights: 0.02539544552564621
NC2 Equiangle: Features: 0.29753633340199787, Weights: 0.1077994704246521
NC3 Self-Duality: 0.2171236276626587
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.770343780517578
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: 7.8193583488464355
Linear Weight Rank: 179
Intra Cos: 0.07982958853244781
Inter Cos: 0.007520049344748259
Norm Quadratic Average: 13.465777397155762
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.816152572631836
Linear Weight Rank: 179
Intra Cos: 0.10890749841928482
Inter Cos: 0.003396210726350546
Norm Quadratic Average: 13.473498344421387
Nearest Class Center Accuracy: 0.8975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7478179931640625
Linear Weight Rank: 180
Intra Cos: 0.1268310248851776
Inter Cos: 0.008516663685441017
Norm Quadratic Average: 13.431339263916016
Nearest Class Center Accuracy: 0.891

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.749720573425293
Linear Weight Rank: 179
Intra Cos: 0.17150431871414185
Inter Cos: -0.008060821332037449
Norm Quadratic Average: 13.324152946472168
Nearest Class Center Accuracy: 0.9065

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4085798263549805
Linear Weight Rank: 4
Intra Cos: 0.28130829334259033
Inter Cos: -0.029130609706044197
Norm Quadratic Average: 13.34934139251709
Nearest Class Center Accuracy: 0.9055

Output Layer:
Intra Cos: 0.7391677498817444
Inter Cos: -0.03510032594203949
Norm Quadratic Average: 11.327802658081055
Nearest Class Center Accuracy: 0.9015

