Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.183483839035034
Linear Weight Rank: 16
Intra Cos: 0.0798891931772232
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2187206745147705
Linear Weight Rank: 180
Intra Cos: 0.0875067338347435
Inter Cos: 0.004544747062027454
Norm Quadratic Average: 5.413453102111816
Nearest Class Center Accuracy: 0.89425

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.165695905685425
Linear Weight Rank: 180
Intra Cos: 0.1463668793439865
Inter Cos: 0.003195615252479911
Norm Quadratic Average: 5.393986225128174
Nearest Class Center Accuracy: 0.955125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.143867254257202
Linear Weight Rank: 180
Intra Cos: 0.21472400426864624
Inter Cos: -0.006732411682605743
Norm Quadratic Average: 5.388721466064453
Nearest Class Center Accuracy: 0.987625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.122119426727295
Linear Weight Rank: 179
Intra Cos: 0.399803102016449
Inter Cos: -0.04408293217420578
Norm Quadratic Average: 5.362868309020996
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.825862169265747
Linear Weight Rank: 4
Intra Cos: 0.8007079362869263
Inter Cos: -0.19422365725040436
Norm Quadratic Average: 5.661423683166504
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9844788908958435
Inter Cos: -0.21591021120548248
Norm Quadratic Average: 5.257211208343506
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.21313788318634033
Accuracy: 0.9115
NC1 Within Class Collapse: 0.7587871551513672
NC2 Equinorm: Features: 0.00985153391957283, Weights: 0.029694760218262672
NC2 Equiangle: Features: 0.16954966386159262, Weights: 0.035928731163342796
NC3 Self-Duality: 0.10010968893766403
NC4 NCC Mismatch: 0.007000000000000006

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.183483839035034
Linear Weight Rank: 16
Intra Cos: 0.08033030480146408
Inter Cos: 0.00331290066242218
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: 3.2187206745147705
Linear Weight Rank: 180
Intra Cos: 0.08809144794940948
Inter Cos: 0.0023013295140117407
Norm Quadratic Average: 5.4049458503723145
Nearest Class Center Accuracy: 0.892

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.165695905685425
Linear Weight Rank: 180
Intra Cos: 0.13932138681411743
Inter Cos: -0.0011953075882047415
Norm Quadratic Average: 5.412222862243652
Nearest Class Center Accuracy: 0.929

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.143867254257202
Linear Weight Rank: 180
Intra Cos: 0.1920805126428604
Inter Cos: 0.0027820668183267117
Norm Quadratic Average: 5.418984413146973
Nearest Class Center Accuracy: 0.9275

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.122119426727295
Linear Weight Rank: 179
Intra Cos: 0.3240622282028198
Inter Cos: -0.020673684775829315
Norm Quadratic Average: 5.340492248535156
Nearest Class Center Accuracy: 0.927

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.825862169265747
Linear Weight Rank: 4
Intra Cos: 0.6024013757705688
Inter Cos: -0.10917706042528152
Norm Quadratic Average: 5.344266891479492
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7880460619926453
Inter Cos: -0.11925464868545532
Norm Quadratic Average: 4.845468997955322
Nearest Class Center Accuracy: 0.916

