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_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.19259262084961
Linear Weight Rank: 16
Intra Cos: 0.03299567848443985
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.250051498413086
Linear Weight Rank: 180
Intra Cos: 0.02886795438826084
Inter Cos: -0.004778598435223103
Norm Quadratic Average: 13.913212776184082
Nearest Class Center Accuracy: 0.590625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170876502990723
Linear Weight Rank: 179
Intra Cos: 0.03219006955623627
Inter Cos: -0.005774784833192825
Norm Quadratic Average: 13.888216018676758
Nearest Class Center Accuracy: 0.62425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151772499084473
Linear Weight Rank: 180
Intra Cos: 0.03353355452418327
Inter Cos: -0.008612897247076035
Norm Quadratic Average: 13.848165512084961
Nearest Class Center Accuracy: 0.68875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.093364715576172
Linear Weight Rank: 180
Intra Cos: 0.04487505927681923
Inter Cos: -0.009270579554140568
Norm Quadratic Average: 13.811790466308594
Nearest Class Center Accuracy: 0.7725

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.088293075561523
Linear Weight Rank: 180
Intra Cos: 0.057263847440481186
Inter Cos: -0.009694323875010014
Norm Quadratic Average: 13.831116676330566
Nearest Class Center Accuracy: 0.874375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050297737121582
Linear Weight Rank: 180
Intra Cos: 0.08985264599323273
Inter Cos: -0.019757572561502457
Norm Quadratic Average: 13.81782341003418
Nearest Class Center Accuracy: 0.970375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04096794128418
Linear Weight Rank: 179
Intra Cos: 0.16828325390815735
Inter Cos: -0.04319579526782036
Norm Quadratic Average: 13.84040355682373
Nearest Class Center Accuracy: 0.999625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.360095500946045
Linear Weight Rank: 4
Intra Cos: 0.3643563389778137
Inter Cos: -0.08948301523923874
Norm Quadratic Average: 14.049116134643555
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9183614253997803
Inter Cos: -0.23009003698825836
Norm Quadratic Average: 11.302290916442871
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.420418228149414
Accuracy: 0.69
NC1 Within Class Collapse: 4.138132095336914
NC2 Equinorm: Features: 0.11067154258489609, Weights: 0.04164617881178856
NC2 Equiangle: Features: 0.09318358699480693, Weights: 0.0756894846757253
NC3 Self-Duality: 0.20356905460357666
NC4 NCC Mismatch: 0.04400000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.19259262084961
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549725912511349
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.250051498413086
Linear Weight Rank: 180
Intra Cos: 0.02631811425089836
Inter Cos: -0.004749394487589598
Norm Quadratic Average: 13.924758911132812
Nearest Class Center Accuracy: 0.592

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.170876502990723
Linear Weight Rank: 179
Intra Cos: 0.028060471639037132
Inter Cos: -0.005409209057688713
Norm Quadratic Average: 13.868986129760742
Nearest Class Center Accuracy: 0.6285

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.151772499084473
Linear Weight Rank: 180
Intra Cos: 0.02713426947593689
Inter Cos: -0.007248216308653355
Norm Quadratic Average: 13.813611030578613
Nearest Class Center Accuracy: 0.653

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.093364715576172
Linear Weight Rank: 180
Intra Cos: 0.03219396993517876
Inter Cos: -0.005435694474726915
Norm Quadratic Average: 13.711536407470703
Nearest Class Center Accuracy: 0.679

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.088293075561523
Linear Weight Rank: 180
Intra Cos: 0.03611697629094124
Inter Cos: -0.004207500256597996
Norm Quadratic Average: 13.70915412902832
Nearest Class Center Accuracy: 0.687

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050297737121582
Linear Weight Rank: 180
Intra Cos: 0.04473761096596718
Inter Cos: -0.007918537594377995
Norm Quadratic Average: 13.578567504882812
Nearest Class Center Accuracy: 0.703

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.04096794128418
Linear Weight Rank: 179
Intra Cos: 0.06542462110519409
Inter Cos: -0.007336369249969721
Norm Quadratic Average: 13.395051002502441
Nearest Class Center Accuracy: 0.7095

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.360095500946045
Linear Weight Rank: 4
Intra Cos: 0.11999168246984482
Inter Cos: -0.023064007982611656
Norm Quadratic Average: 13.073734283447266
Nearest Class Center Accuracy: 0.6955

Output Layer:
Intra Cos: 0.3514201045036316
Inter Cos: -0.09072691202163696
Norm Quadratic Average: 9.616351127624512
Nearest Class Center Accuracy: 0.6955

