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_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.800065994262695
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
Inter Cos: 0.0017584916204214096
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: 7.8817458152771
Linear Weight Rank: 179
Intra Cos: 0.07602686434984207
Inter Cos: 0.005653798580169678
Norm Quadratic Average: 13.549488067626953
Nearest Class Center Accuracy: 0.865625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868571758270264
Linear Weight Rank: 179
Intra Cos: 0.10051993280649185
Inter Cos: 0.010247458703815937
Norm Quadratic Average: 13.484689712524414
Nearest Class Center Accuracy: 0.91275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795116901397705
Linear Weight Rank: 179
Intra Cos: 0.12676432728767395
Inter Cos: 0.006874941289424896
Norm Quadratic Average: 13.440630912780762
Nearest Class Center Accuracy: 0.939125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790310382843018
Linear Weight Rank: 179
Intra Cos: 0.147645965218544
Inter Cos: 0.00045762956142425537
Norm Quadratic Average: 13.368257522583008
Nearest Class Center Accuracy: 0.9705

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802064895629883
Linear Weight Rank: 179
Intra Cos: 0.18341723084449768
Inter Cos: 0.0025908267125487328
Norm Quadratic Average: 13.348252296447754
Nearest Class Center Accuracy: 0.991

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777383804321289
Linear Weight Rank: 180
Intra Cos: 0.24324221909046173
Inter Cos: -0.007919082418084145
Norm Quadratic Average: 13.317978858947754
Nearest Class Center Accuracy: 0.999375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769009590148926
Linear Weight Rank: 179
Intra Cos: 0.33472079038619995
Inter Cos: -0.044478289783000946
Norm Quadratic Average: 13.344913482666016
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0339393615722656
Linear Weight Rank: 4
Intra Cos: 0.5057440996170044
Inter Cos: -0.09385347366333008
Norm Quadratic Average: 13.497855186462402
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9574055075645447
Inter Cos: -0.14525006711483002
Norm Quadratic Average: 10.596861839294434
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.4087745761871338
Accuracy: 0.875
NC1 Within Class Collapse: 1.2248538732528687
NC2 Equinorm: Features: 0.022626373916864395, Weights: 0.04011652246117592
NC2 Equiangle: Features: 0.21990732351938883, Weights: 0.13513182600339255
NC3 Self-Duality: 0.2344459444284439
NC4 NCC Mismatch: 0.010000000000000009

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.800065994262695
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: 7.8817458152771
Linear Weight Rank: 179
Intra Cos: 0.07580000162124634
Inter Cos: 0.006852584425359964
Norm Quadratic Average: 13.531100273132324
Nearest Class Center Accuracy: 0.873

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868571758270264
Linear Weight Rank: 179
Intra Cos: 0.09580207616090775
Inter Cos: 0.004444616846740246
Norm Quadratic Average: 13.513683319091797
Nearest Class Center Accuracy: 0.898

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.795116901397705
Linear Weight Rank: 179
Intra Cos: 0.11744169145822525
Inter Cos: 0.003189533017575741
Norm Quadratic Average: 13.452227592468262
Nearest Class Center Accuracy: 0.9015

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790310382843018
Linear Weight Rank: 179
Intra Cos: 0.13728715479373932
Inter Cos: -0.0008409249130636454
Norm Quadratic Average: 13.390228271484375
Nearest Class Center Accuracy: 0.901

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.802064895629883
Linear Weight Rank: 179
Intra Cos: 0.15335489809513092
Inter Cos: 0.0008901573019102216
Norm Quadratic Average: 13.341245651245117
Nearest Class Center Accuracy: 0.8985

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777383804321289
Linear Weight Rank: 180
Intra Cos: 0.191488578915596
Inter Cos: -0.005632908083498478
Norm Quadratic Average: 13.198089599609375
Nearest Class Center Accuracy: 0.892

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769009590148926
Linear Weight Rank: 179
Intra Cos: 0.23513342440128326
Inter Cos: -0.01213148608803749
Norm Quadratic Average: 13.0842924118042
Nearest Class Center Accuracy: 0.885

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0339393615722656
Linear Weight Rank: 4
Intra Cos: 0.336494505405426
Inter Cos: -0.04742277041077614
Norm Quadratic Average: 12.945808410644531
Nearest Class Center Accuracy: 0.8745

Output Layer:
Intra Cos: 0.6951090693473816
Inter Cos: -0.047707490622997284
Norm Quadratic Average: 9.780482292175293
Nearest Class Center Accuracy: 0.875

