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_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0461935997009277
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: 2.2988691329956055
Linear Weight Rank: 179
Intra Cos: 0.09450073540210724
Inter Cos: 0.002336693461984396
Norm Quadratic Average: 3.348553419113159
Nearest Class Center Accuracy: 0.92325

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.179433584213257
Linear Weight Rank: 179
Intra Cos: 0.14054617285728455
Inter Cos: -0.0009732990874908864
Norm Quadratic Average: 3.316441535949707
Nearest Class Center Accuracy: 0.971625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.092005968093872
Linear Weight Rank: 180
Intra Cos: 0.18205510079860687
Inter Cos: -0.005521212238818407
Norm Quadratic Average: 3.298848867416382
Nearest Class Center Accuracy: 0.990625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.01699161529541
Linear Weight Rank: 179
Intra Cos: 0.24067196249961853
Inter Cos: -0.013106917962431908
Norm Quadratic Average: 3.2931957244873047
Nearest Class Center Accuracy: 0.998125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9648289680480957
Linear Weight Rank: 179
Intra Cos: 0.3667267858982086
Inter Cos: -0.033025387674570084
Norm Quadratic Average: 3.285407304763794
Nearest Class Center Accuracy: 1.0

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9437376260757446
Linear Weight Rank: 179
Intra Cos: 0.6026342511177063
Inter Cos: -0.07349789887666702
Norm Quadratic Average: 3.2769458293914795
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9341967105865479
Linear Weight Rank: 179
Intra Cos: 0.8313847184181213
Inter Cos: -0.14274393022060394
Norm Quadratic Average: 3.292618989944458
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8431686162948608
Linear Weight Rank: 4
Intra Cos: 0.9752125144004822
Inter Cos: -0.27806901931762695
Norm Quadratic Average: 3.7876315116882324
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.998330295085907
Inter Cos: -0.26641011238098145
Norm Quadratic Average: 3.9494457244873047
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.2203551697731018
Accuracy: 0.9275
NC1 Within Class Collapse: 0.5229612588882446
NC2 Equinorm: Features: 0.015913626179099083, Weights: 0.022631756961345673
NC2 Equiangle: Features: 0.11091093222300212, Weights: 0.02958374222119649
NC3 Self-Duality: 0.027975361794233322
NC4 NCC Mismatch: 0.005499999999999949

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.0461935997009277
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: 2.2988691329956055
Linear Weight Rank: 179
Intra Cos: 0.09224814176559448
Inter Cos: 0.007307630032300949
Norm Quadratic Average: 3.3474667072296143
Nearest Class Center Accuracy: 0.9175

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.179433584213257
Linear Weight Rank: 179
Intra Cos: 0.13383878767490387
Inter Cos: 0.006158776115626097
Norm Quadratic Average: 3.3145155906677246
Nearest Class Center Accuracy: 0.9365

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.092005968093872
Linear Weight Rank: 180
Intra Cos: 0.17307892441749573
Inter Cos: -0.002206406556069851
Norm Quadratic Average: 3.2972829341888428
Nearest Class Center Accuracy: 0.942

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.01699161529541
Linear Weight Rank: 179
Intra Cos: 0.21713370084762573
Inter Cos: -0.006569130811840296
Norm Quadratic Average: 3.2728018760681152
Nearest Class Center Accuracy: 0.937

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9648289680480957
Linear Weight Rank: 179
Intra Cos: 0.2904551327228546
Inter Cos: -0.011503957211971283
Norm Quadratic Average: 3.228950023651123
Nearest Class Center Accuracy: 0.926

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9437376260757446
Linear Weight Rank: 179
Intra Cos: 0.4858804941177368
Inter Cos: -0.024824677035212517
Norm Quadratic Average: 3.171004056930542
Nearest Class Center Accuracy: 0.9285

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9341967105865479
Linear Weight Rank: 179
Intra Cos: 0.6595278978347778
Inter Cos: -0.05690460652112961
Norm Quadratic Average: 3.1271860599517822
Nearest Class Center Accuracy: 0.927

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.8431686162948608
Linear Weight Rank: 4
Intra Cos: 0.7625941038131714
Inter Cos: -0.1713780015707016
Norm Quadratic Average: 3.538235664367676
Nearest Class Center Accuracy: 0.926

Output Layer:
Intra Cos: 0.7922866940498352
Inter Cos: -0.1555202305316925
Norm Quadratic Average: 3.6698482036590576
Nearest Class Center Accuracy: 0.9285

