Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.297207832336426
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.527447700500488
Linear Weight Rank: 179
Intra Cos: 0.012191781774163246
Inter Cos: 0.0025766370818018913
Norm Quadratic Average: 14.0682954788208
Nearest Class Center Accuracy: 0.459125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.400145530700684
Linear Weight Rank: 179
Intra Cos: 0.01120313722640276
Inter Cos: 0.0025919999461621046
Norm Quadratic Average: 14.029525756835938
Nearest Class Center Accuracy: 0.486

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.347390174865723
Linear Weight Rank: 179
Intra Cos: 0.011735061183571815
Inter Cos: 0.00266612833365798
Norm Quadratic Average: 14.021706581115723
Nearest Class Center Accuracy: 0.515375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.257407188415527
Linear Weight Rank: 180
Intra Cos: 0.016110889613628387
Inter Cos: 0.0012747173896059394
Norm Quadratic Average: 14.020350456237793
Nearest Class Center Accuracy: 0.574375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.22355842590332
Linear Weight Rank: 180
Intra Cos: 0.025216614827513695
Inter Cos: 0.0006510185194201767
Norm Quadratic Average: 14.021636962890625
Nearest Class Center Accuracy: 0.6795

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154911994934082
Linear Weight Rank: 179
Intra Cos: 0.042877908796072006
Inter Cos: -0.005946042016148567
Norm Quadratic Average: 14.01557445526123
Nearest Class Center Accuracy: 0.859625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126405715942383
Linear Weight Rank: 179
Intra Cos: 0.09149940311908722
Inter Cos: -0.015775004401803017
Norm Quadratic Average: 14.077173233032227
Nearest Class Center Accuracy: 0.995875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6586174964904785
Linear Weight Rank: 4
Intra Cos: 0.2532215416431427
Inter Cos: -0.06314918398857117
Norm Quadratic Average: 14.46177864074707
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9076454639434814
Inter Cos: -0.1650812327861786
Norm Quadratic Average: 11.350261688232422
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.5908767318725587
Accuracy: 0.515
NC1 Within Class Collapse: 15.039761543273926
NC2 Equinorm: Features: 0.07170984894037247, Weights: 0.0324343703687191
NC2 Equiangle: Features: 0.29674017429351807, Weights: 0.060373127460479736
NC3 Self-Duality: 0.2741110622882843
NC4 NCC Mismatch: 0.07150000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.297207832336426
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.527447700500488
Linear Weight Rank: 179
Intra Cos: 0.01322669256478548
Inter Cos: 0.0026222839951515198
Norm Quadratic Average: 14.04605484008789
Nearest Class Center Accuracy: 0.4745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.400145530700684
Linear Weight Rank: 179
Intra Cos: 0.011081119999289513
Inter Cos: 0.0020370068959891796
Norm Quadratic Average: 13.993868827819824
Nearest Class Center Accuracy: 0.495

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.347390174865723
Linear Weight Rank: 179
Intra Cos: 0.009317861869931221
Inter Cos: 0.0023278426378965378
Norm Quadratic Average: 13.956846237182617
Nearest Class Center Accuracy: 0.4925

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.257407188415527
Linear Weight Rank: 180
Intra Cos: 0.010344555601477623
Inter Cos: 0.0027544486802071333
Norm Quadratic Average: 13.8814058303833
Nearest Class Center Accuracy: 0.5095

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.22355842590332
Linear Weight Rank: 180
Intra Cos: 0.011426643468439579
Inter Cos: 0.0031711235642433167
Norm Quadratic Average: 13.801862716674805
Nearest Class Center Accuracy: 0.5125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.154911994934082
Linear Weight Rank: 179
Intra Cos: 0.011860223487019539
Inter Cos: 0.0015960556920617819
Norm Quadratic Average: 13.635781288146973
Nearest Class Center Accuracy: 0.521

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.126405715942383
Linear Weight Rank: 179
Intra Cos: 0.01389754842966795
Inter Cos: 0.002979882759973407
Norm Quadratic Average: 13.428261756896973
Nearest Class Center Accuracy: 0.5435

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.6586174964904785
Linear Weight Rank: 4
Intra Cos: 0.028704170137643814
Inter Cos: 0.004457090515643358
Norm Quadratic Average: 12.971647262573242
Nearest Class Center Accuracy: 0.523

Output Layer:
Intra Cos: 0.1342272013425827
Inter Cos: 0.025562021881341934
Norm Quadratic Average: 8.465899467468262
Nearest Class Center Accuracy: 0.515

