Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.065155982971191
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14798641204834
Linear Weight Rank: 180
Intra Cos: 0.025191381573677063
Inter Cos: -0.004259149078279734
Norm Quadratic Average: 13.848577499389648
Nearest Class Center Accuracy: 0.5745

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080848693847656
Linear Weight Rank: 179
Intra Cos: 0.03009563498198986
Inter Cos: -0.003991425968706608
Norm Quadratic Average: 13.822174072265625
Nearest Class Center Accuracy: 0.628

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087750434875488
Linear Weight Rank: 179
Intra Cos: 0.03555414825677872
Inter Cos: -0.0047448789700865746
Norm Quadratic Average: 13.788585662841797
Nearest Class Center Accuracy: 0.694375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018452644348145
Linear Weight Rank: 180
Intra Cos: 0.048733875155448914
Inter Cos: -0.009648670442402363
Norm Quadratic Average: 13.785691261291504
Nearest Class Center Accuracy: 0.774125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.998081207275391
Linear Weight Rank: 179
Intra Cos: 0.054197799414396286
Inter Cos: -0.015539314597845078
Norm Quadratic Average: 13.772951126098633
Nearest Class Center Accuracy: 0.8845

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012149810791016
Linear Weight Rank: 179
Intra Cos: 0.08469826728105545
Inter Cos: -0.022105421870946884
Norm Quadratic Average: 13.759832382202148
Nearest Class Center Accuracy: 0.974625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982987880706787
Linear Weight Rank: 179
Intra Cos: 0.14889861643314362
Inter Cos: -0.03687376156449318
Norm Quadratic Average: 13.770633697509766
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3461239337921143
Linear Weight Rank: 4
Intra Cos: 0.3480775058269501
Inter Cos: -0.09284438192844391
Norm Quadratic Average: 14.01580810546875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9179901480674744
Inter Cos: -0.19743035733699799
Norm Quadratic Average: 11.253198623657227
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3791603927612304
Accuracy: 0.6935
NC1 Within Class Collapse: 4.110883712768555
NC2 Equinorm: Features: 0.0565313920378685, Weights: 0.025884021073579788
NC2 Equiangle: Features: 0.0926085114479065, Weights: 0.07327186067899068
NC3 Self-Duality: 0.19962535798549652
NC4 NCC Mismatch: 0.05149999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.065155982971191
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.14798641204834
Linear Weight Rank: 180
Intra Cos: 0.023620229214429855
Inter Cos: -0.003061311086639762
Norm Quadratic Average: 13.847173690795898
Nearest Class Center Accuracy: 0.59

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080848693847656
Linear Weight Rank: 179
Intra Cos: 0.027165507897734642
Inter Cos: -0.0019929606933146715
Norm Quadratic Average: 13.786019325256348
Nearest Class Center Accuracy: 0.613

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.087750434875488
Linear Weight Rank: 179
Intra Cos: 0.028667688369750977
Inter Cos: -0.004843251314014196
Norm Quadratic Average: 13.771499633789062
Nearest Class Center Accuracy: 0.631

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.018452644348145
Linear Weight Rank: 180
Intra Cos: 0.03528451919555664
Inter Cos: -0.008197632618248463
Norm Quadratic Average: 13.715714454650879
Nearest Class Center Accuracy: 0.6635

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.998081207275391
Linear Weight Rank: 179
Intra Cos: 0.03663274273276329
Inter Cos: -0.006940249819308519
Norm Quadratic Average: 13.628650665283203
Nearest Class Center Accuracy: 0.6835

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.012149810791016
Linear Weight Rank: 179
Intra Cos: 0.04452766850590706
Inter Cos: -0.008177713491022587
Norm Quadratic Average: 13.450240135192871
Nearest Class Center Accuracy: 0.6945

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.982987880706787
Linear Weight Rank: 179
Intra Cos: 0.06049453094601631
Inter Cos: -0.012971751391887665
Norm Quadratic Average: 13.185028076171875
Nearest Class Center Accuracy: 0.7065

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3461239337921143
Linear Weight Rank: 4
Intra Cos: 0.11892255395650864
Inter Cos: -0.025660479441285133
Norm Quadratic Average: 12.839290618896484
Nearest Class Center Accuracy: 0.703

Output Layer:
Intra Cos: 0.3732624650001526
Inter Cos: -0.0768125131726265
Norm Quadratic Average: 9.33204460144043
Nearest Class Center Accuracy: 0.691

