Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp6_model_depth_MLP_15_weight_decay_0.005.pth.tar
Training Set:
Average Loss: 0.009666399583220481
Accuracy: 1.0
NC1 Within Class Collapse: 0.04927566275000572
NC2 Equinorm: Features: 0.020018305629491806, Weights: 0.0057833632454276085
NC2 Equiangle: Features: 0.036113590002059937, Weights: 0.017545625567436218
NC3 Self-Duality: 0.006811053026467562
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.594302177429199
Intra Cos: 0.015340002253651619
Inter Cos: 0.00368381361477077
Norm Quadratic Average: 3.9849934577941895
Nearest Class Center Accuracy: 0.441

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.021048069000244
Intra Cos: 0.011771055869758129
Inter Cos: 0.0024399023968726397
Norm Quadratic Average: 2.4380147457122803
Nearest Class Center Accuracy: 0.5085

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9083876609802246
Intra Cos: 0.03127751871943474
Inter Cos: -0.002230400452390313
Norm Quadratic Average: 1.5765173435211182
Nearest Class Center Accuracy: 0.80675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.213537335395813
Intra Cos: 0.2066352516412735
Inter Cos: -0.029319975525140762
Norm Quadratic Average: 0.9332244396209717
Nearest Class Center Accuracy: 0.98525

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6026630401611328
Intra Cos: 0.8740646839141846
Inter Cos: -0.15925507247447968
Norm Quadratic Average: 0.3934991657733917
Nearest Class Center Accuracy: 0.99925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.506547212600708
Intra Cos: 0.9557008147239685
Inter Cos: 0.4721966087818146
Norm Quadratic Average: 0.2053855061531067
Nearest Class Center Accuracy: 0.9995

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.49552232027053833
Intra Cos: 0.9529947638511658
Inter Cos: 0.4612314999103546
Norm Quadratic Average: 0.17166277766227722
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5100311040878296
Intra Cos: 0.9589288234710693
Inter Cos: 0.45484358072280884
Norm Quadratic Average: 0.19715076684951782
Nearest Class Center Accuracy: 0.99925

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5055676698684692
Intra Cos: 0.9715905785560608
Inter Cos: 0.30359891057014465
Norm Quadratic Average: 0.18760940432548523
Nearest Class Center Accuracy: 0.99925

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5127707123756409
Intra Cos: 0.9735966324806213
Inter Cos: 0.23365852236747742
Norm Quadratic Average: 0.19845248758792877
Nearest Class Center Accuracy: 0.9995

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5268329381942749
Intra Cos: 0.9720534086227417
Inter Cos: 0.15612876415252686
Norm Quadratic Average: 0.21324795484542847
Nearest Class Center Accuracy: 0.9995

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5519828200340271
Intra Cos: 0.974480926990509
Inter Cos: 0.04952619969844818
Norm Quadratic Average: 0.2518579065799713
Nearest Class Center Accuracy: 0.9995

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6176979541778564
Intra Cos: 0.9738810062408447
Inter Cos: -0.046684905886650085
Norm Quadratic Average: 0.344184547662735
Nearest Class Center Accuracy: 0.99975

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8274469375610352
Intra Cos: 0.9713964462280273
Inter Cos: -0.2177184373140335
Norm Quadratic Average: 0.60606849193573
Nearest Class Center Accuracy: 0.99975

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0582430362701416
Intra Cos: 0.9804449081420898
Inter Cos: -0.23599307239055634
Norm Quadratic Average: 2.9630308151245117
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9898660182952881
Inter Cos: -0.212845116853714
Norm Quadratic Average: 5.195829391479492
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.009537948071956634
Accuracy: 1.0
NC1 Within Class Collapse: 0.04963776096701622
NC2 Equinorm: Features: 0.02271442674100399, Weights: 0.0057833632454276085
NC2 Equiangle: Features: 0.03854594628016154, Weights: 0.017545625567436218
NC3 Self-Duality: 0.0067935967817902565
NC4 NCC Mismatch: 0.0

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 4.594302177429199
Intra Cos: 0.012989893555641174
Inter Cos: 0.007593180518597364
Norm Quadratic Average: 3.9882302284240723
Nearest Class Center Accuracy: 0.476

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.021048069000244
Intra Cos: 0.010902028530836105
Inter Cos: 0.005737983621656895
Norm Quadratic Average: 2.4408912658691406
Nearest Class Center Accuracy: 0.556

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9083876609802246
Intra Cos: 0.028883708640933037
Inter Cos: -0.001567562692798674
Norm Quadratic Average: 1.5902032852172852
Nearest Class Center Accuracy: 0.817

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.213537335395813
Intra Cos: 0.19773346185684204
Inter Cos: -0.021043650805950165
Norm Quadratic Average: 0.936704695224762
Nearest Class Center Accuracy: 0.989

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6026630401611328
Intra Cos: 0.8754075169563293
Inter Cos: -0.13527823984622955
Norm Quadratic Average: 0.39410918951034546
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.506547212600708
Intra Cos: 0.9615393280982971
Inter Cos: 0.4578140676021576
Norm Quadratic Average: 0.20930390059947968
Nearest Class Center Accuracy: 0.999

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.49552232027053833
Intra Cos: 0.9583726525306702
Inter Cos: 0.44519180059432983
Norm Quadratic Average: 0.17460821568965912
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5100311040878296
Intra Cos: 0.9643716812133789
Inter Cos: 0.43793582916259766
Norm Quadratic Average: 0.20029766857624054
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5055676698684692
Intra Cos: 0.9729083180427551
Inter Cos: 0.2765522301197052
Norm Quadratic Average: 0.18947657942771912
Nearest Class Center Accuracy: 1.0

Layer 9: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5127707123756409
Intra Cos: 0.9776772260665894
Inter Cos: 0.20816127955913544
Norm Quadratic Average: 0.2002066820859909
Nearest Class Center Accuracy: 1.0

Layer 10: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5268329381942749
Intra Cos: 0.9765129685401917
Inter Cos: 0.13210783898830414
Norm Quadratic Average: 0.21513015031814575
Nearest Class Center Accuracy: 1.0

Layer 11: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.5519828200340271
Intra Cos: 0.9733083248138428
Inter Cos: 0.0265438724309206
Norm Quadratic Average: 0.2539367377758026
Nearest Class Center Accuracy: 1.0

Layer 12: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.6176979541778564
Intra Cos: 0.9695326685905457
Inter Cos: -0.06921947747468948
Norm Quadratic Average: 0.3465181887149811
Nearest Class Center Accuracy: 1.0

Layer 13: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8274469375610352
Intra Cos: 0.9680269360542297
Inter Cos: -0.24293948709964752
Norm Quadratic Average: 0.6078609824180603
Nearest Class Center Accuracy: 1.0

Layer 14: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.0582430362701416
Intra Cos: 0.9789718985557556
Inter Cos: -0.2629642188549042
Norm Quadratic Average: 2.9645590782165527
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9885267019271851
Inter Cos: -0.24010512232780457
Norm Quadratic Average: 5.199911117553711
Nearest Class Center Accuracy: 1.0

