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_265358_weight_decay_0.0007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.986543655395508
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.001758486032485962
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: 7.883078575134277
Linear Weight Rank: 179
Intra Cos: 0.05899149551987648
Inter Cos: 0.0052430941723287106
Norm Quadratic Average: 4.683342456817627
Nearest Class Center Accuracy: 0.80725

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864960670471191
Linear Weight Rank: 179
Intra Cos: 0.056516654789447784
Inter Cos: 0.005671103950589895
Norm Quadratic Average: 1.7039973735809326
Nearest Class Center Accuracy: 0.72425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.889326095581055
Linear Weight Rank: 180
Intra Cos: 0.058481041342020035
Inter Cos: 0.008345110341906548
Norm Quadratic Average: 0.6214889287948608
Nearest Class Center Accuracy: 0.662625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862011909484863
Linear Weight Rank: 180
Intra Cos: 0.058200590312480927
Inter Cos: 0.011366954073309898
Norm Quadratic Average: 0.23122791945934296
Nearest Class Center Accuracy: 0.663

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883028030395508
Linear Weight Rank: 180
Intra Cos: 0.05562286823987961
Inter Cos: 0.00556147750467062
Norm Quadratic Average: 0.09045269340276718
Nearest Class Center Accuracy: 0.620875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8629961013793945
Linear Weight Rank: 180
Intra Cos: 0.05664936825633049
Inter Cos: 0.018605194985866547
Norm Quadratic Average: 0.034340258687734604
Nearest Class Center Accuracy: 0.60725

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862102508544922
Linear Weight Rank: 180
Intra Cos: 0.051709938794374466
Inter Cos: 0.01714404858648777
Norm Quadratic Average: 0.012605990283191204
Nearest Class Center Accuracy: 0.574625

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874091625213623
Linear Weight Rank: 179
Intra Cos: 0.05613366514444351
Inter Cos: 0.015489248558878899
Norm Quadratic Average: 0.005153104197233915
Nearest Class Center Accuracy: 0.574625

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886540412902832
Linear Weight Rank: 179
Intra Cos: 0.06015438213944435
Inter Cos: 0.017049819231033325
Norm Quadratic Average: 0.00204104813747108
Nearest Class Center Accuracy: 0.57775

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892640113830566
Linear Weight Rank: 179
Intra Cos: 0.03870512917637825
Inter Cos: 0.004872023593634367
Norm Quadratic Average: 0.0007843665662221611
Nearest Class Center Accuracy: 0.54725

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.116127848625183
Linear Weight Rank: 4
Intra Cos: 0.029640695080161095
Inter Cos: 0.006770223844796419
Norm Quadratic Average: 0.0003177512262482196
Nearest Class Center Accuracy: 0.521625

Output Layer:
Intra Cos: 0.019794540479779243
Inter Cos: 0.06210489571094513
Norm Quadratic Average: 2.628532274684403e-05
Nearest Class Center Accuracy: 0.4095

Test Set:
Average Loss: 1.3874974098205566
Accuracy: 0.257
NC1 Within Class Collapse: 55.033164978027344
NC2 Equinorm: Features: 0.42097756266593933, Weights: 0.036146603524684906
NC2 Equiangle: Features: 0.4191740353902181, Weights: 0.2993500232696533
NC3 Self-Duality: 1.834801197052002
NC4 NCC Mismatch: 0.681

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.986543655395508
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883078575134277
Linear Weight Rank: 179
Intra Cos: 0.06062004715204239
Inter Cos: 0.0026589727494865656
Norm Quadratic Average: 4.674351692199707
Nearest Class Center Accuracy: 0.811

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.864960670471191
Linear Weight Rank: 179
Intra Cos: 0.05570795387029648
Inter Cos: 0.004794972948729992
Norm Quadratic Average: 1.6995822191238403
Nearest Class Center Accuracy: 0.738

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.889326095581055
Linear Weight Rank: 180
Intra Cos: 0.059825409203767776
Inter Cos: 0.009401834569871426
Norm Quadratic Average: 0.6205722689628601
Nearest Class Center Accuracy: 0.689

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862011909484863
Linear Weight Rank: 180
Intra Cos: 0.05836000293493271
Inter Cos: 0.009019761346280575
Norm Quadratic Average: 0.23069065809249878
Nearest Class Center Accuracy: 0.688

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.883028030395508
Linear Weight Rank: 180
Intra Cos: 0.054780445992946625
Inter Cos: 0.011388451792299747
Norm Quadratic Average: 0.09032328426837921
Nearest Class Center Accuracy: 0.6365

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8629961013793945
Linear Weight Rank: 180
Intra Cos: 0.055812984704971313
Inter Cos: 0.027420418336987495
Norm Quadratic Average: 0.03444822132587433
Nearest Class Center Accuracy: 0.617

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.862102508544922
Linear Weight Rank: 180
Intra Cos: 0.05037980154156685
Inter Cos: 0.02668583393096924
Norm Quadratic Average: 0.012636426836252213
Nearest Class Center Accuracy: 0.591

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.874091625213623
Linear Weight Rank: 179
Intra Cos: 0.054910629987716675
Inter Cos: 0.028277961537241936
Norm Quadratic Average: 0.005160823464393616
Nearest Class Center Accuracy: 0.592

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.886540412902832
Linear Weight Rank: 179
Intra Cos: 0.05974837765097618
Inter Cos: 0.03257755562663078
Norm Quadratic Average: 0.002050751121714711
Nearest Class Center Accuracy: 0.6005

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.892640113830566
Linear Weight Rank: 179
Intra Cos: 0.03476361557841301
Inter Cos: 0.013579141348600388
Norm Quadratic Average: 0.0007887666579335928
Nearest Class Center Accuracy: 0.564

Layer 11: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.116127848625183
Linear Weight Rank: 4
Intra Cos: 0.025980394333600998
Inter Cos: 0.019705520942807198
Norm Quadratic Average: 0.0003194866585545242
Nearest Class Center Accuracy: 0.5355

Output Layer:
Intra Cos: 0.0190744549036026
Inter Cos: 0.07385911792516708
Norm Quadratic Average: 2.65503167611314e-05
Nearest Class Center Accuracy: 0.4115

