Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_3_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.10962963104248
Linear Weight Rank: 16
Intra Cos: 0.07988917827606201
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: 8.04689884185791
Linear Weight Rank: 179
Intra Cos: 0.09347586333751678
Inter Cos: 0.0048163337633013725
Norm Quadratic Average: 13.929433822631836
Nearest Class Center Accuracy: 0.912625

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.1555182933807373
Linear Weight Rank: 4
Intra Cos: 0.2532130181789398
Inter Cos: -0.00743341539055109
Norm Quadratic Average: 14.153311729431152
Nearest Class Center Accuracy: 0.99525

Output Layer:
Intra Cos: 0.822743833065033
Inter Cos: 0.0034209154546260834
Norm Quadratic Average: 17.0761661529541
Nearest Class Center Accuracy: 0.997875

Test Set:
Average Loss: 0.10796234560012817
Accuracy: 0.9515
NC1 Within Class Collapse: 1.941284418106079
NC2 Equinorm: Features: 0.042329978197813034, Weights: 0.01980988308787346
NC2 Equiangle: Features: 0.3792540629704793, Weights: 0.27348532279332477
NC3 Self-Duality: 0.14135289192199707
NC4 NCC Mismatch: 0.03249999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.10962963104248
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: 8.04689884185791
Linear Weight Rank: 179
Intra Cos: 0.09154291450977325
Inter Cos: 0.0042217932641506195
Norm Quadratic Average: 13.925006866455078
Nearest Class Center Accuracy: 0.914

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.1555182933807373
Linear Weight Rank: 4
Intra Cos: 0.24113425612449646
Inter Cos: 0.004931456875056028
Norm Quadratic Average: 14.174960136413574
Nearest Class Center Accuracy: 0.9565

Output Layer:
Intra Cos: 0.768778383731842
Inter Cos: 0.04256036877632141
Norm Quadratic Average: 17.187076568603516
Nearest Class Center Accuracy: 0.954

