Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.763555526733398
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584823071956635
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: 5.775631904602051
Linear Weight Rank: 179
Intra Cos: 0.06898753345012665
Inter Cos: 0.005902119912207127
Norm Quadratic Average: 9.885293960571289
Nearest Class Center Accuracy: 0.872

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.739593982696533
Linear Weight Rank: 179
Intra Cos: 0.1128196269273758
Inter Cos: 0.0018262672238051891
Norm Quadratic Average: 9.883230209350586
Nearest Class Center Accuracy: 0.92975

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.704986095428467
Linear Weight Rank: 179
Intra Cos: 0.14875325560569763
Inter Cos: -0.0016488551627844572
Norm Quadratic Average: 9.851364135742188
Nearest Class Center Accuracy: 0.966625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.709803104400635
Linear Weight Rank: 179
Intra Cos: 0.23044152557849884
Inter Cos: -0.015468615107238293
Norm Quadratic Average: 9.808194160461426
Nearest Class Center Accuracy: 0.9995

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0954878330230713
Linear Weight Rank: 4
Intra Cos: 0.5019758343696594
Inter Cos: -0.0781407281756401
Norm Quadratic Average: 9.955877304077148
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9459810256958008
Inter Cos: -0.12288877367973328
Norm Quadratic Average: 8.499629974365234
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24458594369888306
Accuracy: 0.903
NC1 Within Class Collapse: 1.1615912914276123
NC2 Equinorm: Features: 0.017643185332417488, Weights: 0.018529260531067848
NC2 Equiangle: Features: 0.25826454162597656, Weights: 0.089068998893102
NC3 Self-Duality: 0.17645584046840668
NC4 NCC Mismatch: 0.02100000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.763555526733398
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 5.775631904602051
Linear Weight Rank: 179
Intra Cos: 0.06729979068040848
Inter Cos: 0.0015243617817759514
Norm Quadratic Average: 9.87326431274414
Nearest Class Center Accuracy: 0.8795

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.739593982696533
Linear Weight Rank: 179
Intra Cos: 0.10726100206375122
Inter Cos: 0.004230437334626913
Norm Quadratic Average: 9.872060775756836
Nearest Class Center Accuracy: 0.9075

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.704986095428467
Linear Weight Rank: 179
Intra Cos: 0.1321505606174469
Inter Cos: 0.006434149108827114
Norm Quadratic Average: 9.867873191833496
Nearest Class Center Accuracy: 0.902

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.709803104400635
Linear Weight Rank: 179
Intra Cos: 0.18708425760269165
Inter Cos: -0.004974267445504665
Norm Quadratic Average: 9.802680015563965
Nearest Class Center Accuracy: 0.9085

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0954878330230713
Linear Weight Rank: 4
Intra Cos: 0.3715687096118927
Inter Cos: -0.03507779538631439
Norm Quadratic Average: 9.709409713745117
Nearest Class Center Accuracy: 0.908

Output Layer:
Intra Cos: 0.7464613318443298
Inter Cos: -0.047346532344818115
Norm Quadratic Average: 8.064555168151855
Nearest Class Center Accuracy: 0.9095

