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_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.112582206726074
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: 8.181646347045898
Linear Weight Rank: 179
Intra Cos: 0.12173052132129669
Inter Cos: 0.011008691042661667
Norm Quadratic Average: 4.984419345855713
Nearest Class Center Accuracy: 0.9355

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20183277130127
Linear Weight Rank: 179
Intra Cos: 0.467544823884964
Inter Cos: 0.026536304503679276
Norm Quadratic Average: 3.8930275440216064
Nearest Class Center Accuracy: 0.960125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.156923294067383
Linear Weight Rank: 179
Intra Cos: 0.6491449475288391
Inter Cos: 0.054452672600746155
Norm Quadratic Average: 5.5205535888671875
Nearest Class Center Accuracy: 0.956375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178861618041992
Linear Weight Rank: 179
Intra Cos: 0.6689753532409668
Inter Cos: 0.08202902972698212
Norm Quadratic Average: 8.429327011108398
Nearest Class Center Accuracy: 0.948875

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.913914680480957
Linear Weight Rank: 4
Intra Cos: 0.6807385683059692
Inter Cos: 0.08014769852161407
Norm Quadratic Average: 12.475264549255371
Nearest Class Center Accuracy: 0.949

Output Layer:
Intra Cos: 0.7652634978294373
Inter Cos: 0.07329076528549194
Norm Quadratic Average: 22.582992553710938
Nearest Class Center Accuracy: 0.954625

Test Set:
Average Loss: 0.06417100954055786
Accuracy: 0.9725
NC1 Within Class Collapse: 1.3385353088378906
NC2 Equinorm: Features: 0.06477785855531693, Weights: 0.046618252992630005
NC2 Equiangle: Features: 0.42906951904296875, Weights: 0.35765878359476727
NC3 Self-Duality: 0.136727437376976
NC4 NCC Mismatch: 0.056499999999999995

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.112582206726074
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: 8.181646347045898
Linear Weight Rank: 179
Intra Cos: 0.11943028122186661
Inter Cos: 0.011503414250910282
Norm Quadratic Average: 4.986770153045654
Nearest Class Center Accuracy: 0.927

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.20183277130127
Linear Weight Rank: 179
Intra Cos: 0.4598351716995239
Inter Cos: 0.03608830273151398
Norm Quadratic Average: 3.933445930480957
Nearest Class Center Accuracy: 0.9515

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.156923294067383
Linear Weight Rank: 179
Intra Cos: 0.6480981111526489
Inter Cos: 0.08246450871229172
Norm Quadratic Average: 5.585271835327148
Nearest Class Center Accuracy: 0.9455

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.178861618041992
Linear Weight Rank: 179
Intra Cos: 0.673723042011261
Inter Cos: 0.11002150177955627
Norm Quadratic Average: 8.52542781829834
Nearest Class Center Accuracy: 0.9395

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.913914680480957
Linear Weight Rank: 4
Intra Cos: 0.6669763326644897
Inter Cos: 0.10512617230415344
Norm Quadratic Average: 12.611072540283203
Nearest Class Center Accuracy: 0.941

Output Layer:
Intra Cos: 0.7500434517860413
Inter Cos: 0.10147585719823837
Norm Quadratic Average: 22.754377365112305
Nearest Class Center Accuracy: 0.9475

