Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.117326736450195
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: 6.195544242858887
Linear Weight Rank: 179
Intra Cos: 0.14844074845314026
Inter Cos: 0.010922743938863277
Norm Quadratic Average: 3.8104910850524902
Nearest Class Center Accuracy: 0.94675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.215560436248779
Linear Weight Rank: 179
Intra Cos: 0.5513709783554077
Inter Cos: 0.03398262336850166
Norm Quadratic Average: 2.879018545150757
Nearest Class Center Accuracy: 0.952375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.190838813781738
Linear Weight Rank: 179
Intra Cos: 0.6652087569236755
Inter Cos: 0.07851317524909973
Norm Quadratic Average: 3.9168035984039307
Nearest Class Center Accuracy: 0.944

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.218298435211182
Linear Weight Rank: 179
Intra Cos: 0.6723800897598267
Inter Cos: 0.10441039502620697
Norm Quadratic Average: 5.586036205291748
Nearest Class Center Accuracy: 0.939625

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.712660074234009
Linear Weight Rank: 4
Intra Cos: 0.6813125014305115
Inter Cos: 0.10755903273820877
Norm Quadratic Average: 7.859132289886475
Nearest Class Center Accuracy: 0.94325

Output Layer:
Intra Cos: 0.7495892643928528
Inter Cos: 0.08674269914627075
Norm Quadratic Average: 13.610513687133789
Nearest Class Center Accuracy: 0.947

Test Set:
Average Loss: 0.07932047510147094
Accuracy: 0.978
NC1 Within Class Collapse: 1.3679070472717285
NC2 Equinorm: Features: 0.07343710213899612, Weights: 0.07034796476364136
NC2 Equiangle: Features: 0.43184296290079754, Weights: 0.3827730417251587
NC3 Self-Duality: 0.10899174958467484
NC4 NCC Mismatch: 0.062000000000000055

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.117326736450195
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: 6.195544242858887
Linear Weight Rank: 179
Intra Cos: 0.14554363489151
Inter Cos: 0.01092810370028019
Norm Quadratic Average: 3.8148272037506104
Nearest Class Center Accuracy: 0.9385

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.215560436248779
Linear Weight Rank: 179
Intra Cos: 0.5455608367919922
Inter Cos: 0.05678705871105194
Norm Quadratic Average: 2.9123423099517822
Nearest Class Center Accuracy: 0.945

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.190838813781738
Linear Weight Rank: 179
Intra Cos: 0.6716367602348328
Inter Cos: 0.10518132895231247
Norm Quadratic Average: 3.963552951812744
Nearest Class Center Accuracy: 0.937

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.218298435211182
Linear Weight Rank: 179
Intra Cos: 0.6793034672737122
Inter Cos: 0.13111388683319092
Norm Quadratic Average: 5.650270462036133
Nearest Class Center Accuracy: 0.9265

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.712660074234009
Linear Weight Rank: 4
Intra Cos: 0.6690788269042969
Inter Cos: 0.1319398432970047
Norm Quadratic Average: 7.944486141204834
Nearest Class Center Accuracy: 0.937

Output Layer:
Intra Cos: 0.7389854788780212
Inter Cos: 0.11511928588151932
Norm Quadratic Average: 13.700008392333984
Nearest Class Center Accuracy: 0.946

