Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.74311637878418
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584878951311111
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: 5.755345344543457
Linear Weight Rank: 180
Intra Cos: 0.07701045274734497
Inter Cos: 0.0026254935655742884
Norm Quadratic Average: 9.779193878173828
Nearest Class Center Accuracy: 0.868625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.713991165161133
Linear Weight Rank: 179
Intra Cos: 0.12349912524223328
Inter Cos: 0.0020137247629463673
Norm Quadratic Average: 9.778523445129395
Nearest Class Center Accuracy: 0.933

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.692468643188477
Linear Weight Rank: 180
Intra Cos: 0.17530877888202667
Inter Cos: 0.00832365546375513
Norm Quadratic Average: 9.762640953063965
Nearest Class Center Accuracy: 0.9745

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.702668190002441
Linear Weight Rank: 180
Intra Cos: 0.2594011127948761
Inter Cos: 0.004615107551217079
Norm Quadratic Average: 9.753417015075684
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.096890926361084
Linear Weight Rank: 4
Intra Cos: 0.49976906180381775
Inter Cos: -0.06403324753046036
Norm Quadratic Average: 9.973686218261719
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9481651782989502
Inter Cos: -0.11308163404464722
Norm Quadratic Average: 8.493230819702148
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24999790811538697
Accuracy: 0.9
NC1 Within Class Collapse: 1.1653177738189697
NC2 Equinorm: Features: 0.03297443315386772, Weights: 0.01514266338199377
NC2 Equiangle: Features: 0.2720121145248413, Weights: 0.08875799179077148
NC3 Self-Duality: 0.1797715276479721
NC4 NCC Mismatch: 0.017000000000000015

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.74311637878418
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.00331290066242218
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: 5.755345344543457
Linear Weight Rank: 180
Intra Cos: 0.07905922830104828
Inter Cos: 0.004270808771252632
Norm Quadratic Average: 9.772821426391602
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.713991165161133
Linear Weight Rank: 179
Intra Cos: 0.12013138830661774
Inter Cos: 0.004563387483358383
Norm Quadratic Average: 9.781558990478516
Nearest Class Center Accuracy: 0.9125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.692468643188477
Linear Weight Rank: 180
Intra Cos: 0.1632225215435028
Inter Cos: 0.014334099367260933
Norm Quadratic Average: 9.781201362609863
Nearest Class Center Accuracy: 0.92

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.702668190002441
Linear Weight Rank: 180
Intra Cos: 0.21827779710292816
Inter Cos: 0.011588240042328835
Norm Quadratic Average: 9.746496200561523
Nearest Class Center Accuracy: 0.9115

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.096890926361084
Linear Weight Rank: 4
Intra Cos: 0.3622555434703827
Inter Cos: -0.02851872518658638
Norm Quadratic Average: 9.743435859680176
Nearest Class Center Accuracy: 0.905

Output Layer:
Intra Cos: 0.7375646233558655
Inter Cos: -0.031089499592781067
Norm Quadratic Average: 8.081974029541016
Nearest Class Center Accuracy: 0.904

