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_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.066709518432617
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: 8.099571228027344
Linear Weight Rank: 180
Intra Cos: 0.06359818577766418
Inter Cos: 0.004100485239177942
Norm Quadratic Average: 13.845202445983887
Nearest Class Center Accuracy: 0.85875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.045175552368164
Linear Weight Rank: 179
Intra Cos: 0.09126237779855728
Inter Cos: 0.0036950046196579933
Norm Quadratic Average: 13.814547538757324
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.001338005065918
Linear Weight Rank: 180
Intra Cos: 0.1132003664970398
Inter Cos: 0.00496226130053401
Norm Quadratic Average: 13.766005516052246
Nearest Class Center Accuracy: 0.93925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.003846168518066
Linear Weight Rank: 180
Intra Cos: 0.13550026714801788
Inter Cos: 0.0008556642569601536
Norm Quadratic Average: 13.75788402557373
Nearest Class Center Accuracy: 0.96225

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.986347198486328
Linear Weight Rank: 179
Intra Cos: 0.1703784018754959
Inter Cos: -0.008694528602063656
Norm Quadratic Average: 13.721517562866211
Nearest Class Center Accuracy: 0.987625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987081050872803
Linear Weight Rank: 179
Intra Cos: 0.22611267864704132
Inter Cos: -0.015507334843277931
Norm Quadratic Average: 13.663299560546875
Nearest Class Center Accuracy: 0.9985

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973642349243164
Linear Weight Rank: 179
Intra Cos: 0.2889072000980377
Inter Cos: -0.025992337614297867
Norm Quadratic Average: 13.682246208190918
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0589241981506348
Linear Weight Rank: 4
Intra Cos: 0.4556935727596283
Inter Cos: -0.09944304823875427
Norm Quadratic Average: 13.824847221374512
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9571431279182434
Inter Cos: -0.1445235311985016
Norm Quadratic Average: 10.725077629089355
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.359768009185791
Accuracy: 0.885
NC1 Within Class Collapse: 1.2129762172698975
NC2 Equinorm: Features: 0.02058856189250946, Weights: 0.02399921976029873
NC2 Equiangle: Features: 0.2263796329498291, Weights: 0.11866263548533122
NC3 Self-Duality: 0.24499282240867615
NC4 NCC Mismatch: 0.01849999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.066709518432617
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: 8.099571228027344
Linear Weight Rank: 180
Intra Cos: 0.06206890940666199
Inter Cos: 0.002303825691342354
Norm Quadratic Average: 13.823413848876953
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.045175552368164
Linear Weight Rank: 179
Intra Cos: 0.08787236362695694
Inter Cos: 0.0039955987595021725
Norm Quadratic Average: 13.79119873046875
Nearest Class Center Accuracy: 0.88

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.001338005065918
Linear Weight Rank: 180
Intra Cos: 0.10606154799461365
Inter Cos: -0.0007858865428715944
Norm Quadratic Average: 13.777963638305664
Nearest Class Center Accuracy: 0.892

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.003846168518066
Linear Weight Rank: 180
Intra Cos: 0.12152919918298721
Inter Cos: 0.0031384837348014116
Norm Quadratic Average: 13.731918334960938
Nearest Class Center Accuracy: 0.8945

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.986347198486328
Linear Weight Rank: 179
Intra Cos: 0.14391861855983734
Inter Cos: -0.0033175386488437653
Norm Quadratic Average: 13.668293952941895
Nearest Class Center Accuracy: 0.8965

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.987081050872803
Linear Weight Rank: 179
Intra Cos: 0.17777138948440552
Inter Cos: -0.004872817546129227
Norm Quadratic Average: 13.552471160888672
Nearest Class Center Accuracy: 0.8875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973642349243164
Linear Weight Rank: 179
Intra Cos: 0.21957699954509735
Inter Cos: -0.005055172368884087
Norm Quadratic Average: 13.42469596862793
Nearest Class Center Accuracy: 0.891

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0589241981506348
Linear Weight Rank: 4
Intra Cos: 0.3226087987422943
Inter Cos: -0.03653072565793991
Norm Quadratic Average: 13.180389404296875
Nearest Class Center Accuracy: 0.8915

Output Layer:
Intra Cos: 0.708575963973999
Inter Cos: -0.038508929312229156
Norm Quadratic Average: 9.772781372070312
Nearest Class Center Accuracy: 0.886

