Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.895971775054932
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
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: 7.9761643409729
Linear Weight Rank: 179
Intra Cos: 0.07517224550247192
Inter Cos: 0.005960529204457998
Norm Quadratic Average: 13.609225273132324
Nearest Class Center Accuracy: 0.86825

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963136672973633
Linear Weight Rank: 179
Intra Cos: 0.10254950821399689
Inter Cos: 0.0069758156314492226
Norm Quadratic Average: 13.587090492248535
Nearest Class Center Accuracy: 0.912875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.888895511627197
Linear Weight Rank: 179
Intra Cos: 0.12693007290363312
Inter Cos: 0.002829054370522499
Norm Quadratic Average: 13.572464942932129
Nearest Class Center Accuracy: 0.9445

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884183406829834
Linear Weight Rank: 179
Intra Cos: 0.14346888661384583
Inter Cos: 0.0008280796464532614
Norm Quadratic Average: 13.53235912322998
Nearest Class Center Accuracy: 0.97

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896106719970703
Linear Weight Rank: 179
Intra Cos: 0.1811659336090088
Inter Cos: 0.0018245496321469545
Norm Quadratic Average: 13.527854919433594
Nearest Class Center Accuracy: 0.991625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87119197845459
Linear Weight Rank: 180
Intra Cos: 0.24293607473373413
Inter Cos: -0.0077957576140761375
Norm Quadratic Average: 13.49043083190918
Nearest Class Center Accuracy: 0.99925

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862795352935791
Linear Weight Rank: 179
Intra Cos: 0.3412054479122162
Inter Cos: -0.043907105922698975
Norm Quadratic Average: 13.469676971435547
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.058204174041748
Linear Weight Rank: 4
Intra Cos: 0.5012345910072327
Inter Cos: -0.09553705155849457
Norm Quadratic Average: 13.637943267822266
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9641525745391846
Inter Cos: -0.15204794704914093
Norm Quadratic Average: 10.83524227142334
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.39528710079193113
Accuracy: 0.877
NC1 Within Class Collapse: 1.2184935808181763
NC2 Equinorm: Features: 0.018873590975999832, Weights: 0.038063570857048035
NC2 Equiangle: Features: 0.22091945012410483, Weights: 0.13413129250208536
NC3 Self-Duality: 0.23559275269508362
NC4 NCC Mismatch: 0.018000000000000016

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.895971775054932
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9761643409729
Linear Weight Rank: 179
Intra Cos: 0.07637020200490952
Inter Cos: 0.007138911634683609
Norm Quadratic Average: 13.591888427734375
Nearest Class Center Accuracy: 0.8725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.963136672973633
Linear Weight Rank: 179
Intra Cos: 0.09765519946813583
Inter Cos: 0.0011284083593636751
Norm Quadratic Average: 13.622686386108398
Nearest Class Center Accuracy: 0.895

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.888895511627197
Linear Weight Rank: 179
Intra Cos: 0.11752954870462418
Inter Cos: 0.002659185789525509
Norm Quadratic Average: 13.594364166259766
Nearest Class Center Accuracy: 0.897

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.884183406829834
Linear Weight Rank: 179
Intra Cos: 0.1340928077697754
Inter Cos: 0.000294071389362216
Norm Quadratic Average: 13.571300506591797
Nearest Class Center Accuracy: 0.8915

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.896106719970703
Linear Weight Rank: 179
Intra Cos: 0.1589186191558838
Inter Cos: 0.0003245244733989239
Norm Quadratic Average: 13.528650283813477
Nearest Class Center Accuracy: 0.9

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.87119197845459
Linear Weight Rank: 180
Intra Cos: 0.19636137783527374
Inter Cos: -0.005601654760539532
Norm Quadratic Average: 13.388174057006836
Nearest Class Center Accuracy: 0.898

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862795352935791
Linear Weight Rank: 179
Intra Cos: 0.23812349140644073
Inter Cos: -0.012514164671301842
Norm Quadratic Average: 13.209689140319824
Nearest Class Center Accuracy: 0.885

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.058204174041748
Linear Weight Rank: 4
Intra Cos: 0.33990082144737244
Inter Cos: -0.049855366349220276
Norm Quadratic Average: 13.073162078857422
Nearest Class Center Accuracy: 0.878

Output Layer:
Intra Cos: 0.698131799697876
Inter Cos: -0.053501471877098083
Norm Quadratic Average: 9.980432510375977
Nearest Class Center Accuracy: 0.8805

