Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.109739303588867
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167872428894043
Linear Weight Rank: 180
Intra Cos: 0.012230630964040756
Inter Cos: 0.0031133731827139854
Norm Quadratic Average: 13.799266815185547
Nearest Class Center Accuracy: 0.4545

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08800220489502
Linear Weight Rank: 181
Intra Cos: 0.01123691163957119
Inter Cos: 0.00267701200209558
Norm Quadratic Average: 13.794235229492188
Nearest Class Center Accuracy: 0.491

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053289413452148
Linear Weight Rank: 180
Intra Cos: 0.012353885918855667
Inter Cos: 0.002677988028153777
Norm Quadratic Average: 13.750798225402832
Nearest Class Center Accuracy: 0.562625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97824764251709
Linear Weight Rank: 179
Intra Cos: 0.02483055368065834
Inter Cos: -0.0007851654081605375
Norm Quadratic Average: 13.725342750549316
Nearest Class Center Accuracy: 0.80675

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.245737314224243
Linear Weight Rank: 4
Intra Cos: 0.11566930264234543
Inter Cos: -0.028405504301190376
Norm Quadratic Average: 14.057878494262695
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8641030192375183
Inter Cos: -0.19831135869026184
Norm Quadratic Average: 9.811603546142578
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.367565933227539
Accuracy: 0.515
NC1 Within Class Collapse: 12.9381103515625
NC2 Equinorm: Features: 0.039209190756082535, Weights: 0.009511643089354038
NC2 Equiangle: Features: 0.249815305074056, Weights: 0.03570057451725006
NC3 Self-Duality: 0.32782626152038574
NC4 NCC Mismatch: 0.136

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.109739303588867
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.167872428894043
Linear Weight Rank: 180
Intra Cos: 0.013330210000276566
Inter Cos: 0.003190729534253478
Norm Quadratic Average: 13.777580261230469
Nearest Class Center Accuracy: 0.4675

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.08800220489502
Linear Weight Rank: 181
Intra Cos: 0.011169382371008396
Inter Cos: 0.001907833619043231
Norm Quadratic Average: 13.759714126586914
Nearest Class Center Accuracy: 0.4995

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.053289413452148
Linear Weight Rank: 180
Intra Cos: 0.008325684815645218
Inter Cos: 0.0023474502377212048
Norm Quadratic Average: 13.72200870513916
Nearest Class Center Accuracy: 0.507

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.97824764251709
Linear Weight Rank: 179
Intra Cos: 0.008281645365059376
Inter Cos: 0.001901926938444376
Norm Quadratic Average: 13.62990665435791
Nearest Class Center Accuracy: 0.5285

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.245737314224243
Linear Weight Rank: 4
Intra Cos: 0.01779830828309059
Inter Cos: 0.0027372355107218027
Norm Quadratic Average: 13.648676872253418
Nearest Class Center Accuracy: 0.5435

Output Layer:
Intra Cos: 0.1344124674797058
Inter Cos: 0.01688258722424507
Norm Quadratic Average: 8.190244674682617
Nearest Class Center Accuracy: 0.5155

