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_846264_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.3900837898254395
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584916204214096
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: 6.366318225860596
Linear Weight Rank: 179
Intra Cos: 0.09139040857553482
Inter Cos: 0.004469484090805054
Norm Quadratic Average: 10.966233253479004
Nearest Class Center Accuracy: 0.91775

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9204623699188232
Linear Weight Rank: 4
Intra Cos: 0.29550811648368835
Inter Cos: -0.01217115018516779
Norm Quadratic Average: 11.284582138061523
Nearest Class Center Accuracy: 0.997375

Output Layer:
Intra Cos: 0.8353798389434814
Inter Cos: 0.003114365041255951
Norm Quadratic Average: 13.503509521484375
Nearest Class Center Accuracy: 0.99825

Test Set:
Average Loss: 0.11631240701675415
Accuracy: 0.9565
NC1 Within Class Collapse: 1.7761191129684448
NC2 Equinorm: Features: 0.035143978893756866, Weights: 0.012134455144405365
NC2 Equiangle: Features: 0.3705992301305135, Weights: 0.2735508282979329
NC3 Self-Duality: 0.12339123338460922
NC4 NCC Mismatch: 0.03149999999999997

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.3900837898254395
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: 6.366318225860596
Linear Weight Rank: 179
Intra Cos: 0.09007631987333298
Inter Cos: 0.0025010397657752037
Norm Quadratic Average: 10.965163230895996
Nearest Class Center Accuracy: 0.9065

Layer 2: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9204623699188232
Linear Weight Rank: 4
Intra Cos: 0.2805461883544922
Inter Cos: -0.00044571899343281984
Norm Quadratic Average: 11.340874671936035
Nearest Class Center Accuracy: 0.958

Output Layer:
Intra Cos: 0.7958073019981384
Inter Cos: 0.03266046941280365
Norm Quadratic Average: 13.616324424743652
Nearest Class Center Accuracy: 0.9595

