Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_12_model_type_MLP_rand_seed_338327_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9221415519714355
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
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: 7.888295650482178
Linear Weight Rank: 180
Intra Cos: 0.06235012784600258
Inter Cos: 0.0015157363377511501
Norm Quadratic Average: 4.632626533508301
Nearest Class Center Accuracy: 0.798625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864327430725098
Linear Weight Rank: 180
Intra Cos: 0.04263339564204216
Inter Cos: 0.010266043245792389
Norm Quadratic Average: 1.5681748390197754
Nearest Class Center Accuracy: 0.725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.851933479309082
Linear Weight Rank: 179
Intra Cos: 0.03554711490869522
Inter Cos: 0.008936998434364796
Norm Quadratic Average: 0.5604252815246582
Nearest Class Center Accuracy: 0.62725

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874715805053711
Linear Weight Rank: 180
Intra Cos: 0.038802407681941986
Inter Cos: 0.0048012579791247845
Norm Quadratic Average: 0.20364032685756683
Nearest Class Center Accuracy: 0.589125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88485050201416
Linear Weight Rank: 179
Intra Cos: 0.034042827785015106
Inter Cos: 0.006219983566552401
Norm Quadratic Average: 0.07939017564058304
Nearest Class Center Accuracy: 0.5695

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868170738220215
Linear Weight Rank: 180
Intra Cos: 0.029513444751501083
Inter Cos: 0.015177637338638306
Norm Quadratic Average: 0.03188037499785423
Nearest Class Center Accuracy: 0.534

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890954494476318
Linear Weight Rank: 179
Intra Cos: 0.031246889382600784
Inter Cos: 0.016730662435293198
Norm Quadratic Average: 0.011834119446575642
Nearest Class Center Accuracy: 0.477875

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887668132781982
Linear Weight Rank: 179
Intra Cos: 0.03170335292816162
Inter Cos: 0.018711835145950317
Norm Quadratic Average: 0.004838318098336458
Nearest Class Center Accuracy: 0.467

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870364189147949
Linear Weight Rank: 180
Intra Cos: 0.030780239030718803
Inter Cos: 0.01225128024816513
Norm Quadratic Average: 0.001972563797608018
Nearest Class Center Accuracy: 0.445375

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883019924163818
Linear Weight Rank: 180
Intra Cos: 0.02790568210184574
Inter Cos: 0.012828896753489971
Norm Quadratic Average: 0.0008617760613560677
Nearest Class Center Accuracy: 0.419125

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1009857654571533
Linear Weight Rank: 4
Intra Cos: 0.02440839447081089
Inter Cos: 0.01736360415816307
Norm Quadratic Average: 0.0003251564339734614
Nearest Class Center Accuracy: 0.39925

Output Layer:
Intra Cos: 0.014236245304346085
Inter Cos: 0.016840407624840736
Norm Quadratic Average: 2.5711626221891493e-05
Nearest Class Center Accuracy: 0.30475

Test Set:
Average Loss: 1.3874977912902833
Accuracy: 0.257
NC1 Within Class Collapse: 138.84425354003906
NC2 Equinorm: Features: 0.19500185549259186, Weights: 0.017546094954013824
NC2 Equiangle: Features: 0.46950586636861164, Weights: 0.3183485269546509
NC3 Self-Duality: 1.985938549041748
NC4 NCC Mismatch: 0.819

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.9221415519714355
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: 7.888295650482178
Linear Weight Rank: 180
Intra Cos: 0.06409065425395966
Inter Cos: 0.005096030421555042
Norm Quadratic Average: 4.624316215515137
Nearest Class Center Accuracy: 0.805

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864327430725098
Linear Weight Rank: 180
Intra Cos: 0.04335379600524902
Inter Cos: 0.011816276237368584
Norm Quadratic Average: 1.5641000270843506
Nearest Class Center Accuracy: 0.7255

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.851933479309082
Linear Weight Rank: 179
Intra Cos: 0.03471079468727112
Inter Cos: 0.010670151561498642
Norm Quadratic Average: 0.5585753917694092
Nearest Class Center Accuracy: 0.632

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874715805053711
Linear Weight Rank: 180
Intra Cos: 0.041205618530511856
Inter Cos: 0.005354349967092276
Norm Quadratic Average: 0.2035135179758072
Nearest Class Center Accuracy: 0.611

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.88485050201416
Linear Weight Rank: 179
Intra Cos: 0.030757714062929153
Inter Cos: 0.0073003750294446945
Norm Quadratic Average: 0.07930999249219894
Nearest Class Center Accuracy: 0.5835

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.868170738220215
Linear Weight Rank: 180
Intra Cos: 0.024568621069192886
Inter Cos: 0.016521494835615158
Norm Quadratic Average: 0.031809594482183456
Nearest Class Center Accuracy: 0.5575

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.890954494476318
Linear Weight Rank: 179
Intra Cos: 0.024837564677000046
Inter Cos: 0.015213570557534695
Norm Quadratic Average: 0.011812801472842693
Nearest Class Center Accuracy: 0.5025

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.887668132781982
Linear Weight Rank: 179
Intra Cos: 0.029644716531038284
Inter Cos: 0.01771130971610546
Norm Quadratic Average: 0.004827504977583885
Nearest Class Center Accuracy: 0.4965

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.870364189147949
Linear Weight Rank: 180
Intra Cos: 0.024404119700193405
Inter Cos: 0.011795260943472385
Norm Quadratic Average: 0.001962893409654498
Nearest Class Center Accuracy: 0.4725

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883019924163818
Linear Weight Rank: 180
Intra Cos: 0.02305995672941208
Inter Cos: 0.011511987075209618
Norm Quadratic Average: 0.0008576224790886045
Nearest Class Center Accuracy: 0.427

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1009857654571533
Linear Weight Rank: 4
Intra Cos: 0.024068165570497513
Inter Cos: 0.015372072346508503
Norm Quadratic Average: 0.0003241432714276016
Nearest Class Center Accuracy: 0.424

Output Layer:
Intra Cos: 0.010082367807626724
Inter Cos: 0.015866724774241447
Norm Quadratic Average: 2.587678136478644e-05
Nearest Class Center Accuracy: 0.299

