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_846264_weight_decay_0.07.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.5786951780319214
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 0.6841258406639099
Linear Weight Rank: 174
Intra Cos: 0.21634350717067719
Inter Cos: 0.03771873190999031
Norm Quadratic Average: 0.5787479877471924
Nearest Class Center Accuracy: 0.867375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5012224912643433
Linear Weight Rank: 176
Intra Cos: 0.4217992126941681
Inter Cos: 0.07455605268478394
Norm Quadratic Average: 0.20786601305007935
Nearest Class Center Accuracy: 1.0

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.46291202306747437
Linear Weight Rank: 176
Intra Cos: 0.9475402235984802
Inter Cos: 0.0817376896739006
Norm Quadratic Average: 0.2575989067554474
Nearest Class Center Accuracy: 1.0

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6210968494415283
Linear Weight Rank: 175
Intra Cos: 0.9903571009635925
Inter Cos: -0.18091779947280884
Norm Quadratic Average: 0.48846834897994995
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2190635204315186
Linear Weight Rank: 3
Intra Cos: 0.9979053139686584
Inter Cos: -0.28590476512908936
Norm Quadratic Average: 2.1491408348083496
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9983258843421936
Inter Cos: -0.26137298345565796
Norm Quadratic Average: 2.7591712474823
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.15443030738830565
Accuracy: 0.9845
NC1 Within Class Collapse: 0.1031557098031044
NC2 Equinorm: Features: 0.008814546279609203, Weights: 0.019414497539401054
NC2 Equiangle: Features: 0.06144182880719503, Weights: 0.03200500210126241
NC3 Self-Duality: 0.0021864718291908503
NC4 NCC Mismatch: 0.0004999999999999449

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 0.5786951780319214
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 0.6841258406639099
Linear Weight Rank: 174
Intra Cos: 0.21409344673156738
Inter Cos: 0.027826320379972458
Norm Quadratic Average: 0.5810166001319885
Nearest Class Center Accuracy: 0.8655

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5012224912643433
Linear Weight Rank: 176
Intra Cos: 0.41616901755332947
Inter Cos: 0.08713766187429428
Norm Quadratic Average: 0.2067815363407135
Nearest Class Center Accuracy: 0.984

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.46291202306747437
Linear Weight Rank: 176
Intra Cos: 0.9158778190612793
Inter Cos: 0.10402744263410568
Norm Quadratic Average: 0.254913866519928
Nearest Class Center Accuracy: 0.9845

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6210968494415283
Linear Weight Rank: 175
Intra Cos: 0.9585858583450317
Inter Cos: -0.14443233609199524
Norm Quadratic Average: 0.4820877015590668
Nearest Class Center Accuracy: 0.9855

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2190635204315186
Linear Weight Rank: 3
Intra Cos: 0.9591110348701477
Inter Cos: -0.25051483511924744
Norm Quadratic Average: 2.113328456878662
Nearest Class Center Accuracy: 0.985

Output Layer:
Intra Cos: 0.9586432576179504
Inter Cos: -0.22439000010490417
Norm Quadratic Average: 2.7115767002105713
Nearest Class Center Accuracy: 0.985

