Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.187076568603516
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.222419738769531
Linear Weight Rank: 180
Intra Cos: 0.07088401168584824
Inter Cos: 0.002306361449882388
Norm Quadratic Average: 14.093865394592285
Nearest Class Center Accuracy: 0.853125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164325714111328
Linear Weight Rank: 180
Intra Cos: 0.1053757593035698
Inter Cos: 0.004349939990788698
Norm Quadratic Average: 14.045821189880371
Nearest Class Center Accuracy: 0.912125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132913589477539
Linear Weight Rank: 179
Intra Cos: 0.13044685125350952
Inter Cos: 0.007865877822041512
Norm Quadratic Average: 14.052153587341309
Nearest Class Center Accuracy: 0.938875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143946647644043
Linear Weight Rank: 180
Intra Cos: 0.15006279945373535
Inter Cos: 0.010531683452427387
Norm Quadratic Average: 14.04055118560791
Nearest Class Center Accuracy: 0.959875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.144672393798828
Linear Weight Rank: 180
Intra Cos: 0.16687865555286407
Inter Cos: -0.00440189428627491
Norm Quadratic Average: 13.995741844177246
Nearest Class Center Accuracy: 0.98575

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122183799743652
Linear Weight Rank: 180
Intra Cos: 0.21519675850868225
Inter Cos: -0.013030844740569592
Norm Quadratic Average: 13.953025817871094
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142160415649414
Linear Weight Rank: 179
Intra Cos: 0.28927648067474365
Inter Cos: -0.04117162153124809
Norm Quadratic Average: 13.925074577331543
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0666606426239014
Linear Weight Rank: 4
Intra Cos: 0.4428115487098694
Inter Cos: -0.09426910430192947
Norm Quadratic Average: 14.079675674438477
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9624185562133789
Inter Cos: -0.14621147513389587
Norm Quadratic Average: 10.98442268371582
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.38443985557556154
Accuracy: 0.8805
NC1 Within Class Collapse: 1.2120413780212402
NC2 Equinorm: Features: 0.01876853033900261, Weights: 0.04235569387674332
NC2 Equiangle: Features: 0.23789310455322266, Weights: 0.10236440102259318
NC3 Self-Duality: 0.230182945728302
NC4 NCC Mismatch: 0.013000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.187076568603516
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.222419738769531
Linear Weight Rank: 180
Intra Cos: 0.0727262869477272
Inter Cos: 0.004180011339485645
Norm Quadratic Average: 14.085487365722656
Nearest Class Center Accuracy: 0.852

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.164325714111328
Linear Weight Rank: 180
Intra Cos: 0.10314067453145981
Inter Cos: 0.005976584739983082
Norm Quadratic Average: 14.042745590209961
Nearest Class Center Accuracy: 0.891

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.132913589477539
Linear Weight Rank: 179
Intra Cos: 0.122744619846344
Inter Cos: 0.012001843191683292
Norm Quadratic Average: 14.04699420928955
Nearest Class Center Accuracy: 0.9005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.143946647644043
Linear Weight Rank: 180
Intra Cos: 0.1413564682006836
Inter Cos: 0.01527484878897667
Norm Quadratic Average: 14.025734901428223
Nearest Class Center Accuracy: 0.89

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.144672393798828
Linear Weight Rank: 180
Intra Cos: 0.15100425481796265
Inter Cos: 0.002855985425412655
Norm Quadratic Average: 13.913141250610352
Nearest Class Center Accuracy: 0.888

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122183799743652
Linear Weight Rank: 180
Intra Cos: 0.18259406089782715
Inter Cos: -0.0019627693109214306
Norm Quadratic Average: 13.767598152160645
Nearest Class Center Accuracy: 0.899

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.142160415649414
Linear Weight Rank: 179
Intra Cos: 0.22638115286827087
Inter Cos: -0.015892697498202324
Norm Quadratic Average: 13.640279769897461
Nearest Class Center Accuracy: 0.8865

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0666606426239014
Linear Weight Rank: 4
Intra Cos: 0.3275046646595001
Inter Cos: -0.04249722510576248
Norm Quadratic Average: 13.448203086853027
Nearest Class Center Accuracy: 0.8855

Output Layer:
Intra Cos: 0.7075552940368652
Inter Cos: -0.052921831607818604
Norm Quadratic Average: 10.070272445678711
Nearest Class Center Accuracy: 0.8815

