Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.053814888000488
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.104249000549316
Linear Weight Rank: 179
Intra Cos: 0.0790816992521286
Inter Cos: 0.006532175932079554
Norm Quadratic Average: 13.973118782043457
Nearest Class Center Accuracy: 0.869625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101648330688477
Linear Weight Rank: 179
Intra Cos: 0.1124776229262352
Inter Cos: 0.008865825831890106
Norm Quadratic Average: 13.926515579223633
Nearest Class Center Accuracy: 0.909625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031229019165039
Linear Weight Rank: 180
Intra Cos: 0.1356075406074524
Inter Cos: 0.0010603538248687983
Norm Quadratic Average: 13.884711265563965
Nearest Class Center Accuracy: 0.95425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033432006835938
Linear Weight Rank: 179
Intra Cos: 0.19673526287078857
Inter Cos: -0.008981768973171711
Norm Quadratic Average: 13.847949981689453
Nearest Class Center Accuracy: 0.996

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4543070793151855
Linear Weight Rank: 4
Intra Cos: 0.35428088903427124
Inter Cos: -0.04398871958255768
Norm Quadratic Average: 13.983344078063965
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9191887974739075
Inter Cos: -0.08247353136539459
Norm Quadratic Average: 12.167990684509277
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2918842267990112
Accuracy: 0.8965
NC1 Within Class Collapse: 1.3079886436462402
NC2 Equinorm: Features: 0.016104137524962425, Weights: 0.025163915008306503
NC2 Equiangle: Features: 0.3013933102289836, Weights: 0.1099995772043864
NC3 Self-Duality: 0.22274638712406158
NC4 NCC Mismatch: 0.024499999999999966

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.053814888000488
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
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: 8.104249000549316
Linear Weight Rank: 179
Intra Cos: 0.07969483733177185
Inter Cos: 0.0074165896512568
Norm Quadratic Average: 13.959256172180176
Nearest Class Center Accuracy: 0.8735

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.101648330688477
Linear Weight Rank: 179
Intra Cos: 0.10793650895357132
Inter Cos: 0.00350798387080431
Norm Quadratic Average: 13.966917037963867
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031229019165039
Linear Weight Rank: 180
Intra Cos: 0.12532660365104675
Inter Cos: 0.008462503552436829
Norm Quadratic Average: 13.921562194824219
Nearest Class Center Accuracy: 0.8875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.033432006835938
Linear Weight Rank: 179
Intra Cos: 0.16915655136108398
Inter Cos: -0.007949555292725563
Norm Quadratic Average: 13.8190336227417
Nearest Class Center Accuracy: 0.904

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4543070793151855
Linear Weight Rank: 4
Intra Cos: 0.27469828724861145
Inter Cos: -0.027617819607257843
Norm Quadratic Average: 13.844182014465332
Nearest Class Center Accuracy: 0.9065

Output Layer:
Intra Cos: 0.7374399304389954
Inter Cos: -0.03418528288602829
Norm Quadratic Average: 11.828678131103516
Nearest Class Center Accuracy: 0.902

