Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.394205093383789
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 5.433304309844971
Linear Weight Rank: 179
Intra Cos: 0.1719144582748413
Inter Cos: 0.006627300754189491
Norm Quadratic Average: 3.3996527194976807
Nearest Class Center Accuracy: 0.939

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.439885139465332
Linear Weight Rank: 179
Intra Cos: 0.5772943496704102
Inter Cos: 0.053077638149261475
Norm Quadratic Average: 2.680546283721924
Nearest Class Center Accuracy: 0.9275

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.482019424438477
Linear Weight Rank: 179
Intra Cos: 0.6564112305641174
Inter Cos: 0.11029976606369019
Norm Quadratic Average: 3.6520988941192627
Nearest Class Center Accuracy: 0.91675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.487869739532471
Linear Weight Rank: 179
Intra Cos: 0.6764944195747375
Inter Cos: 0.1316409856081009
Norm Quadratic Average: 5.137423515319824
Nearest Class Center Accuracy: 0.924

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6864047050476074
Linear Weight Rank: 4
Intra Cos: 0.6790815591812134
Inter Cos: 0.12160266935825348
Norm Quadratic Average: 7.132383346557617
Nearest Class Center Accuracy: 0.93925

Output Layer:
Intra Cos: 0.7505601644515991
Inter Cos: 0.09776068478822708
Norm Quadratic Average: 12.238643646240234
Nearest Class Center Accuracy: 0.950875

Test Set:
Average Loss: 0.08128907465934754
Accuracy: 0.9815
NC1 Within Class Collapse: 2.0612599849700928
NC2 Equinorm: Features: 0.04530095309019089, Weights: 0.08245471119880676
NC2 Equiangle: Features: 0.4339561462402344, Weights: 0.399519403775533
NC3 Self-Duality: 0.10745753347873688
NC4 NCC Mismatch: 0.05900000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.394205093383789
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
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: 5.433304309844971
Linear Weight Rank: 179
Intra Cos: 0.1696653962135315
Inter Cos: 0.0055567799136042595
Norm Quadratic Average: 3.3994195461273193
Nearest Class Center Accuracy: 0.9445

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.439885139465332
Linear Weight Rank: 179
Intra Cos: 0.5624375343322754
Inter Cos: 0.04868915304541588
Norm Quadratic Average: 2.6952054500579834
Nearest Class Center Accuracy: 0.926

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.482019424438477
Linear Weight Rank: 179
Intra Cos: 0.6359583139419556
Inter Cos: 0.10525421798229218
Norm Quadratic Average: 3.67263126373291
Nearest Class Center Accuracy: 0.9135

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.487869739532471
Linear Weight Rank: 179
Intra Cos: 0.653401792049408
Inter Cos: 0.12609748542308807
Norm Quadratic Average: 5.165879726409912
Nearest Class Center Accuracy: 0.919

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6864047050476074
Linear Weight Rank: 4
Intra Cos: 0.6558761596679688
Inter Cos: 0.11575309187173843
Norm Quadratic Average: 7.160639762878418
Nearest Class Center Accuracy: 0.9335

Output Layer:
Intra Cos: 0.7221987247467041
Inter Cos: 0.0993485227227211
Norm Quadratic Average: 12.253680229187012
Nearest Class Center Accuracy: 0.946

