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_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.11091423034668
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: 8.175497055053711
Linear Weight Rank: 180
Intra Cos: 0.02900741435587406
Inter Cos: -0.004638968966901302
Norm Quadratic Average: 13.780826568603516
Nearest Class Center Accuracy: 0.589

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09445571899414
Linear Weight Rank: 179
Intra Cos: 0.0321456603705883
Inter Cos: -0.006800055969506502
Norm Quadratic Average: 13.752405166625977
Nearest Class Center Accuracy: 0.618875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07517147064209
Linear Weight Rank: 180
Intra Cos: 0.03585781529545784
Inter Cos: -0.009638815186917782
Norm Quadratic Average: 13.72474193572998
Nearest Class Center Accuracy: 0.68425

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.016236305236816
Linear Weight Rank: 180
Intra Cos: 0.04769141599535942
Inter Cos: -0.009937996044754982
Norm Quadratic Average: 13.672719955444336
Nearest Class Center Accuracy: 0.76375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.011632919311523
Linear Weight Rank: 180
Intra Cos: 0.060001205652952194
Inter Cos: -0.011846119537949562
Norm Quadratic Average: 13.663371086120605
Nearest Class Center Accuracy: 0.86925

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973809242248535
Linear Weight Rank: 180
Intra Cos: 0.09570594131946564
Inter Cos: -0.02115020714700222
Norm Quadratic Average: 13.652143478393555
Nearest Class Center Accuracy: 0.965125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964151382446289
Linear Weight Rank: 180
Intra Cos: 0.16789191961288452
Inter Cos: -0.04861839860677719
Norm Quadratic Average: 13.684549331665039
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3489584922790527
Linear Weight Rank: 4
Intra Cos: 0.362726628780365
Inter Cos: -0.09153306484222412
Norm Quadratic Average: 13.907171249389648
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.917708694934845
Inter Cos: -0.22560939192771912
Norm Quadratic Average: 11.179878234863281
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.3766684112548828
Accuracy: 0.6955
NC1 Within Class Collapse: 4.059239864349365
NC2 Equinorm: Features: 0.11126210540533066, Weights: 0.04420091584324837
NC2 Equiangle: Features: 0.09373342990875244, Weights: 0.07485193014144897
NC3 Self-Duality: 0.20360691845417023
NC4 NCC Mismatch: 0.04700000000000004

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.11091423034668
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: 8.175497055053711
Linear Weight Rank: 180
Intra Cos: 0.026504043489694595
Inter Cos: -0.004564180504530668
Norm Quadratic Average: 13.795309066772461
Nearest Class Center Accuracy: 0.592

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.09445571899414
Linear Weight Rank: 179
Intra Cos: 0.02814686857163906
Inter Cos: -0.005964729934930801
Norm Quadratic Average: 13.75583553314209
Nearest Class Center Accuracy: 0.618

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.07517147064209
Linear Weight Rank: 180
Intra Cos: 0.029215682297945023
Inter Cos: -0.008507821708917618
Norm Quadratic Average: 13.698516845703125
Nearest Class Center Accuracy: 0.6615

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.016236305236816
Linear Weight Rank: 180
Intra Cos: 0.03393302857875824
Inter Cos: -0.007089976221323013
Norm Quadratic Average: 13.582002639770508
Nearest Class Center Accuracy: 0.6765

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.011632919311523
Linear Weight Rank: 180
Intra Cos: 0.0384647436439991
Inter Cos: -0.005580978002399206
Norm Quadratic Average: 13.52436351776123
Nearest Class Center Accuracy: 0.6945

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.973809242248535
Linear Weight Rank: 180
Intra Cos: 0.048783913254737854
Inter Cos: -0.006685181055217981
Norm Quadratic Average: 13.381465911865234
Nearest Class Center Accuracy: 0.699

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.964151382446289
Linear Weight Rank: 180
Intra Cos: 0.06675365567207336
Inter Cos: -0.008557132445275784
Norm Quadratic Average: 13.23310375213623
Nearest Class Center Accuracy: 0.705

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.3489584922790527
Linear Weight Rank: 4
Intra Cos: 0.12397284060716629
Inter Cos: -0.021152470260858536
Norm Quadratic Average: 12.905237197875977
Nearest Class Center Accuracy: 0.7075

Output Layer:
Intra Cos: 0.36439579725265503
Inter Cos: -0.07172984629869461
Norm Quadratic Average: 9.48989200592041
Nearest Class Center Accuracy: 0.6955

