Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04649120196700096
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 0.045889634639024734
Linear Weight Rank: 179
Intra Cos: 0.058978889137506485
Inter Cos: 0.005218992941081524
Norm Quadratic Average: 0.027263367548584938
Nearest Class Center Accuracy: 0.807375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04578407108783722
Linear Weight Rank: 179
Intra Cos: 0.04718528687953949
Inter Cos: 0.004679456353187561
Norm Quadratic Average: 6.569473771378398e-05
Nearest Class Center Accuracy: 0.706125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04592609778046608
Linear Weight Rank: 180
Intra Cos: 0.04092152789235115
Inter Cos: 0.00949648953974247
Norm Quadratic Average: 1.4455547159286652e-07
Nearest Class Center Accuracy: 0.64075

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04576728120446205
Linear Weight Rank: 180
Intra Cos: 0.9279415607452393
Inter Cos: 0.9247249960899353
Norm Quadratic Average: 1.166105212391244e-09
Nearest Class Center Accuracy: 0.39975

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006739456672221422
Linear Weight Rank: 4
Intra Cos: 0.9998286366462708
Inter Cos: 0.9998446106910706
Norm Quadratic Average: 1.2367236124077863e-09
Nearest Class Center Accuracy: 0.269375

Output Layer:
Intra Cos: 0.9999998807907104
Inter Cos: 1.000000238418579
Norm Quadratic Average: 3.687849314815139e-08
Nearest Class Center Accuracy: 0.269375

Test Set:
Average Loss: 1.386687717437744
Accuracy: 0.257
NC1 Within Class Collapse: 2.5826661586761475
NC2 Equinorm: Features: 0.26728713512420654, Weights: 0.06809922307729721
NC2 Equiangle: Features: 0.3212626775105794, Weights: 0.2755894462267558
NC3 Self-Duality: 2.23752760887146
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.04649120196700096
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
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: 0.045889634639024734
Linear Weight Rank: 179
Intra Cos: 0.06060614436864853
Inter Cos: 0.002636267803609371
Norm Quadratic Average: 0.02721094712615013
Nearest Class Center Accuracy: 0.8105

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04578407108783722
Linear Weight Rank: 179
Intra Cos: 0.048909611999988556
Inter Cos: 0.00316430302336812
Norm Quadratic Average: 6.557891902048141e-05
Nearest Class Center Accuracy: 0.72

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04592609778046608
Linear Weight Rank: 180
Intra Cos: 0.04193144291639328
Inter Cos: 0.007580347824841738
Norm Quadratic Average: 1.4441978635204578e-07
Nearest Class Center Accuracy: 0.659

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.04576728120446205
Linear Weight Rank: 180
Intra Cos: 0.512308657169342
Inter Cos: 0.4979153573513031
Norm Quadratic Average: 4.4962944478754707e-10
Nearest Class Center Accuracy: 0.5375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.006739456672221422
Linear Weight Rank: 4
Intra Cos: 0.9981890916824341
Inter Cos: 0.9983375668525696
Norm Quadratic Average: 3.8202771501794075e-10
Nearest Class Center Accuracy: 0.257

Output Layer:
Intra Cos: 0.9999997615814209
Inter Cos: 1.0
Norm Quadratic Average: 3.494632494493999e-08
Nearest Class Center Accuracy: 0.24

