Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_846264_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.143305778503418
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 8.177149772644043
Linear Weight Rank: 179
Intra Cos: 0.06328552961349487
Inter Cos: 0.004664050880819559
Norm Quadratic Average: 13.97913646697998
Nearest Class Center Accuracy: 0.859625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122099876403809
Linear Weight Rank: 179
Intra Cos: 0.09096301347017288
Inter Cos: 0.006369936745613813
Norm Quadratic Average: 13.943120956420898
Nearest Class Center Accuracy: 0.897375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.078201293945312
Linear Weight Rank: 180
Intra Cos: 0.11586378514766693
Inter Cos: 0.006752131041139364
Norm Quadratic Average: 13.893512725830078
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080810546875
Linear Weight Rank: 180
Intra Cos: 0.13558144867420197
Inter Cos: 0.000736064394004643
Norm Quadratic Average: 13.895258903503418
Nearest Class Center Accuracy: 0.965125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.063154220581055
Linear Weight Rank: 179
Intra Cos: 0.17097164690494537
Inter Cos: -0.008739805780351162
Norm Quadratic Average: 13.860716819763184
Nearest Class Center Accuracy: 0.989125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064148902893066
Linear Weight Rank: 179
Intra Cos: 0.22694066166877747
Inter Cos: -0.01394350454211235
Norm Quadratic Average: 13.824914932250977
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05048942565918
Linear Weight Rank: 179
Intra Cos: 0.2882571816444397
Inter Cos: -0.030472245067358017
Norm Quadratic Average: 13.831724166870117
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0727882385253906
Linear Weight Rank: 4
Intra Cos: 0.4543600380420685
Inter Cos: -0.09624049067497253
Norm Quadratic Average: 13.957051277160645
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9551812410354614
Inter Cos: -0.13510346412658691
Norm Quadratic Average: 10.902503967285156
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3837249631881714
Accuracy: 0.884
NC1 Within Class Collapse: 1.247337818145752
NC2 Equinorm: Features: 0.01752447336912155, Weights: 0.025624113157391548
NC2 Equiangle: Features: 0.2313487927118937, Weights: 0.12238069375356038
NC3 Self-Duality: 0.2453829050064087
NC4 NCC Mismatch: 0.015000000000000013

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.143305778503418
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: 8.177149772644043
Linear Weight Rank: 179
Intra Cos: 0.06174483895301819
Inter Cos: 0.0018416050588712096
Norm Quadratic Average: 13.95689582824707
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.122099876403809
Linear Weight Rank: 179
Intra Cos: 0.087232306599617
Inter Cos: 0.0013936557807028294
Norm Quadratic Average: 13.923157691955566
Nearest Class Center Accuracy: 0.883

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.078201293945312
Linear Weight Rank: 180
Intra Cos: 0.10771382600069046
Inter Cos: 0.0009198000770993531
Norm Quadratic Average: 13.913521766662598
Nearest Class Center Accuracy: 0.8945

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080810546875
Linear Weight Rank: 180
Intra Cos: 0.12104561924934387
Inter Cos: 0.0031329095363616943
Norm Quadratic Average: 13.865131378173828
Nearest Class Center Accuracy: 0.898

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.063154220581055
Linear Weight Rank: 179
Intra Cos: 0.14408749341964722
Inter Cos: -0.0028459457680583
Norm Quadratic Average: 13.811659812927246
Nearest Class Center Accuracy: 0.8965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.064148902893066
Linear Weight Rank: 179
Intra Cos: 0.17754124104976654
Inter Cos: -0.0028666106518357992
Norm Quadratic Average: 13.69337272644043
Nearest Class Center Accuracy: 0.891

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05048942565918
Linear Weight Rank: 179
Intra Cos: 0.2193065732717514
Inter Cos: -0.008148087188601494
Norm Quadratic Average: 13.567943572998047
Nearest Class Center Accuracy: 0.8925

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0727882385253906
Linear Weight Rank: 4
Intra Cos: 0.3214538097381592
Inter Cos: -0.037112146615982056
Norm Quadratic Average: 13.335268020629883
Nearest Class Center Accuracy: 0.888

Output Layer:
Intra Cos: 0.7103267312049866
Inter Cos: -0.027402177453041077
Norm Quadratic Average: 9.958589553833008
Nearest Class Center Accuracy: 0.886

