Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.1.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4588448107242584
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 0.4270174205303192
Linear Weight Rank: 169
Intra Cos: 0.273129940032959
Inter Cos: 0.12766088545322418
Norm Quadratic Average: 0.3608039915561676
Nearest Class Center Accuracy: 0.7525

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.34273579716682434
Linear Weight Rank: 171
Intra Cos: 0.8025727272033691
Inter Cos: 0.13175977766513824
Norm Quadratic Average: 0.21341367065906525
Nearest Class Center Accuracy: 0.975875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.40642982721328735
Linear Weight Rank: 169
Intra Cos: 0.9836128950119019
Inter Cos: 0.14707133173942566
Norm Quadratic Average: 0.24607303738594055
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5992096066474915
Linear Weight Rank: 163
Intra Cos: 0.9873454570770264
Inter Cos: -0.12650707364082336
Norm Quadratic Average: 0.4370199143886566
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0711722373962402
Linear Weight Rank: 3
Intra Cos: 0.9917258620262146
Inter Cos: -0.24407172203063965
Norm Quadratic Average: 1.9303277730941772
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9917470812797546
Inter Cos: -0.21231022477149963
Norm Quadratic Average: 2.3149373531341553
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2120458517074585
Accuracy: 0.992
NC1 Within Class Collapse: 0.0671296939253807
NC2 Equinorm: Features: 0.020789938047528267, Weights: 0.020901216194033623
NC2 Equiangle: Features: 0.06153230865796407, Weights: 0.04297661781311035
NC3 Self-Duality: 0.002869493793696165
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.4588448107242584
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: 0.4270174205303192
Linear Weight Rank: 169
Intra Cos: 0.26456063985824585
Inter Cos: 0.11126388609409332
Norm Quadratic Average: 0.36243483424186707
Nearest Class Center Accuracy: 0.7655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.34273579716682434
Linear Weight Rank: 171
Intra Cos: 0.7827224731445312
Inter Cos: 0.11899144947528839
Norm Quadratic Average: 0.21357743442058563
Nearest Class Center Accuracy: 0.969

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.40642982721328735
Linear Weight Rank: 169
Intra Cos: 0.9698256254196167
Inter Cos: 0.1434563398361206
Norm Quadratic Average: 0.24555835127830505
Nearest Class Center Accuracy: 0.9925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5992096066474915
Linear Weight Rank: 163
Intra Cos: 0.9723312854766846
Inter Cos: -0.12309779971837997
Norm Quadratic Average: 0.43607914447784424
Nearest Class Center Accuracy: 0.992

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0711722373962402
Linear Weight Rank: 3
Intra Cos: 0.9758087992668152
Inter Cos: -0.2406509965658188
Norm Quadratic Average: 1.9213868379592896
Nearest Class Center Accuracy: 0.9925

Output Layer:
Intra Cos: 0.9777800440788269
Inter Cos: -0.20974454283714294
Norm Quadratic Average: 2.3022031784057617
Nearest Class Center Accuracy: 0.9925

