Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.374757289886475
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
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: 6.347943305969238
Linear Weight Rank: 179
Intra Cos: 0.0773777887225151
Inter Cos: 0.005635956302285194
Norm Quadratic Average: 10.904369354248047
Nearest Class Center Accuracy: 0.883

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.320409774780273
Linear Weight Rank: 179
Intra Cos: 0.1211264431476593
Inter Cos: 0.004588637501001358
Norm Quadratic Average: 10.887598037719727
Nearest Class Center Accuracy: 0.929625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.34744930267334
Linear Weight Rank: 180
Intra Cos: 0.17049182951450348
Inter Cos: -0.0013847710797563195
Norm Quadratic Average: 10.885610580444336
Nearest Class Center Accuracy: 0.968875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.311031341552734
Linear Weight Rank: 180
Intra Cos: 0.2441665083169937
Inter Cos: -0.010807428508996964
Norm Quadratic Average: 10.838533401489258
Nearest Class Center Accuracy: 0.999375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1702330112457275
Linear Weight Rank: 4
Intra Cos: 0.45131927728652954
Inter Cos: -0.06271050125360489
Norm Quadratic Average: 10.970480918884277
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9397469758987427
Inter Cos: -0.07671741396188736
Norm Quadratic Average: 9.334781646728516
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.23121914958953857
Accuracy: 0.9125
NC1 Within Class Collapse: 1.139651894569397
NC2 Equinorm: Features: 0.0063115013763308525, Weights: 0.01648496650159359
NC2 Equiangle: Features: 0.28025372823079425, Weights: 0.1132858395576477
NC3 Self-Duality: 0.1890965700149536
NC4 NCC Mismatch: 0.013499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 6.374757289886475
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: 6.347943305969238
Linear Weight Rank: 179
Intra Cos: 0.07582386583089828
Inter Cos: 0.005848722066730261
Norm Quadratic Average: 10.892926216125488
Nearest Class Center Accuracy: 0.888

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.320409774780273
Linear Weight Rank: 179
Intra Cos: 0.11635822802782059
Inter Cos: 0.0041483547538518906
Norm Quadratic Average: 10.90265941619873
Nearest Class Center Accuracy: 0.909

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.34744930267334
Linear Weight Rank: 180
Intra Cos: 0.15429680049419403
Inter Cos: 0.0069324905052781105
Norm Quadratic Average: 10.920347213745117
Nearest Class Center Accuracy: 0.9185

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.311031341552734
Linear Weight Rank: 180
Intra Cos: 0.21101497113704681
Inter Cos: -0.006818562746047974
Norm Quadratic Average: 10.812114715576172
Nearest Class Center Accuracy: 0.928

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1702330112457275
Linear Weight Rank: 4
Intra Cos: 0.34662342071533203
Inter Cos: -0.022653549909591675
Norm Quadratic Average: 10.722341537475586
Nearest Class Center Accuracy: 0.9185

Output Layer:
Intra Cos: 0.7537226676940918
Inter Cos: -0.00742967426776886
Norm Quadratic Average: 8.899678230285645
Nearest Class Center Accuracy: 0.918

