Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_846264_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1910195350646973
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
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: 3.338376522064209
Linear Weight Rank: 179
Intra Cos: 0.07717490941286087
Inter Cos: 0.003909582272171974
Norm Quadratic Average: 5.421905040740967
Nearest Class Center Accuracy: 0.8905

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2574524879455566
Linear Weight Rank: 178
Intra Cos: 0.1194441094994545
Inter Cos: 0.0019388159271329641
Norm Quadratic Average: 5.3932600021362305
Nearest Class Center Accuracy: 0.95025

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.205751419067383
Linear Weight Rank: 180
Intra Cos: 0.15055818855762482
Inter Cos: -0.005554073490202427
Norm Quadratic Average: 5.380318641662598
Nearest Class Center Accuracy: 0.978

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1741390228271484
Linear Weight Rank: 180
Intra Cos: 0.18816566467285156
Inter Cos: -0.010721230879426003
Norm Quadratic Average: 5.3762946128845215
Nearest Class Center Accuracy: 0.990875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.145393133163452
Linear Weight Rank: 179
Intra Cos: 0.2658769488334656
Inter Cos: -0.019705206155776978
Norm Quadratic Average: 5.363335609436035
Nearest Class Center Accuracy: 0.9985

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1347646713256836
Linear Weight Rank: 179
Intra Cos: 0.427404522895813
Inter Cos: -0.04073667526245117
Norm Quadratic Average: 5.331850528717041
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.12554931640625
Linear Weight Rank: 179
Intra Cos: 0.6459788680076599
Inter Cos: -0.09852825850248337
Norm Quadratic Average: 5.342104434967041
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6722933053970337
Linear Weight Rank: 4
Intra Cos: 0.8975427150726318
Inter Cos: -0.24325957894325256
Norm Quadratic Average: 5.63187837600708
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.994042694568634
Inter Cos: -0.2581214904785156
Norm Quadratic Average: 5.0096306800842285
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.23927665328979492
Accuracy: 0.911
NC1 Within Class Collapse: 0.7069656848907471
NC2 Equinorm: Features: 0.01071962434798479, Weights: 0.023423926904797554
NC2 Equiangle: Features: 0.13384830951690674, Weights: 0.036927297711372375
NC3 Self-Duality: 0.08373435586690903
NC4 NCC Mismatch: 0.0050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 3.1910195350646973
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: 3.338376522064209
Linear Weight Rank: 179
Intra Cos: 0.07539337128400803
Inter Cos: 0.0032665494363754988
Norm Quadratic Average: 5.41697883605957
Nearest Class Center Accuracy: 0.8935

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.2574524879455566
Linear Weight Rank: 178
Intra Cos: 0.11316685378551483
Inter Cos: 0.007592518348246813
Norm Quadratic Average: 5.399023056030273
Nearest Class Center Accuracy: 0.9245

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.205751419067383
Linear Weight Rank: 180
Intra Cos: 0.13891743123531342
Inter Cos: 0.002253182465210557
Norm Quadratic Average: 5.383142948150635
Nearest Class Center Accuracy: 0.9245

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1741390228271484
Linear Weight Rank: 180
Intra Cos: 0.1644701510667801
Inter Cos: -0.008386143483221531
Norm Quadratic Average: 5.353766441345215
Nearest Class Center Accuracy: 0.9165

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.145393133163452
Linear Weight Rank: 179
Intra Cos: 0.21607200801372528
Inter Cos: -0.012845500372350216
Norm Quadratic Average: 5.314675331115723
Nearest Class Center Accuracy: 0.915

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.1347646713256836
Linear Weight Rank: 179
Intra Cos: 0.3444593548774719
Inter Cos: -0.014150851406157017
Norm Quadratic Average: 5.2312445640563965
Nearest Class Center Accuracy: 0.917

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.12554931640625
Linear Weight Rank: 179
Intra Cos: 0.5071338415145874
Inter Cos: -0.03532030060887337
Norm Quadratic Average: 5.114736557006836
Nearest Class Center Accuracy: 0.918

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.6722933053970337
Linear Weight Rank: 4
Intra Cos: 0.6667264699935913
Inter Cos: -0.13791348040103912
Norm Quadratic Average: 5.131479740142822
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7659645676612854
Inter Cos: -0.14840754866600037
Norm Quadratic Average: 4.475030422210693
Nearest Class Center Accuracy: 0.914

