Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.0725884437561035
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: 7.0848307609558105
Linear Weight Rank: 179
Intra Cos: 0.023632841184735298
Inter Cos: -0.0025755418464541435
Norm Quadratic Average: 4.204649448394775
Nearest Class Center Accuracy: 0.568375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101702690124512
Linear Weight Rank: 179
Intra Cos: 0.01714148372411728
Inter Cos: -0.0006659211940132082
Norm Quadratic Average: 1.2877994775772095
Nearest Class Center Accuracy: 0.536125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.05080509185791
Linear Weight Rank: 179
Intra Cos: 0.014179794117808342
Inter Cos: 0.0022814397234469652
Norm Quadratic Average: 0.41206884384155273
Nearest Class Center Accuracy: 0.496125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058882236480713
Linear Weight Rank: 180
Intra Cos: 0.016389185562729836
Inter Cos: 0.005162837915122509
Norm Quadratic Average: 0.14067070186138153
Nearest Class Center Accuracy: 0.484125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.077674865722656
Linear Weight Rank: 179
Intra Cos: 0.016707440838217735
Inter Cos: 0.004600233398377895
Norm Quadratic Average: 0.04920121654868126
Nearest Class Center Accuracy: 0.472125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.05951452255249
Linear Weight Rank: 180
Intra Cos: 0.017826886847615242
Inter Cos: 0.005849211011081934
Norm Quadratic Average: 0.016305740922689438
Nearest Class Center Accuracy: 0.446625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0546488761901855
Linear Weight Rank: 179
Intra Cos: 0.017002031207084656
Inter Cos: 0.009216693229973316
Norm Quadratic Average: 0.006049599032849073
Nearest Class Center Accuracy: 0.43475

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0379465818405151
Linear Weight Rank: 4
Intra Cos: 0.01601826399564743
Inter Cos: 0.010839452967047691
Norm Quadratic Average: 0.0021791246253997087
Nearest Class Center Accuracy: 0.428125

Output Layer:
Intra Cos: 0.020210133865475655
Inter Cos: 0.022487565875053406
Norm Quadratic Average: 0.0001854512665886432
Nearest Class Center Accuracy: 0.3825

Test Set:
Average Loss: 1.3867434196472168
Accuracy: 0.255
NC1 Within Class Collapse: 42.020259857177734
NC2 Equinorm: Features: 0.3385915160179138, Weights: 0.02369745448231697
NC2 Equiangle: Features: 0.2499644954999288, Weights: 0.34524861971537274
NC3 Self-Duality: 1.7058004140853882
NC4 NCC Mismatch: 0.652

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.0725884437561035
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: 7.0848307609558105
Linear Weight Rank: 179
Intra Cos: 0.02337573654949665
Inter Cos: -0.0016122281085699797
Norm Quadratic Average: 4.216030120849609
Nearest Class Center Accuracy: 0.557

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101702690124512
Linear Weight Rank: 179
Intra Cos: 0.016433972865343094
Inter Cos: -6.96749339113012e-05
Norm Quadratic Average: 1.2883975505828857
Nearest Class Center Accuracy: 0.5485

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.05080509185791
Linear Weight Rank: 179
Intra Cos: 0.012729886919260025
Inter Cos: 0.003310824278742075
Norm Quadratic Average: 0.41189831495285034
Nearest Class Center Accuracy: 0.508

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.058882236480713
Linear Weight Rank: 180
Intra Cos: 0.013862273655831814
Inter Cos: 0.006495228037238121
Norm Quadratic Average: 0.14054478704929352
Nearest Class Center Accuracy: 0.4975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.077674865722656
Linear Weight Rank: 179
Intra Cos: 0.013850321061909199
Inter Cos: 0.006094235926866531
Norm Quadratic Average: 0.04911913350224495
Nearest Class Center Accuracy: 0.499

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.05951452255249
Linear Weight Rank: 180
Intra Cos: 0.014475050382316113
Inter Cos: 0.008381467312574387
Norm Quadratic Average: 0.0162490364164114
Nearest Class Center Accuracy: 0.4665

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0546488761901855
Linear Weight Rank: 179
Intra Cos: 0.013859427534043789
Inter Cos: 0.010911672376096249
Norm Quadratic Average: 0.0060211061500012875
Nearest Class Center Accuracy: 0.4525

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.0379465818405151
Linear Weight Rank: 4
Intra Cos: 0.012735450640320778
Inter Cos: 0.011974327266216278
Norm Quadratic Average: 0.0021703713573515415
Nearest Class Center Accuracy: 0.446

Output Layer:
Intra Cos: 0.014884899370372295
Inter Cos: 0.022066164761781693
Norm Quadratic Average: 0.00018432825163472444
Nearest Class Center Accuracy: 0.3905

