Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.784871578216553
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798370361328125
Linear Weight Rank: 179
Intra Cos: 0.012764792889356613
Inter Cos: 0.005192368291318417
Norm Quadratic Average: 4.629873752593994
Nearest Class Center Accuracy: 0.449875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.816944122314453
Linear Weight Rank: 179
Intra Cos: 0.009381337091326714
Inter Cos: 0.0024609281681478024
Norm Quadratic Average: 1.5594291687011719
Nearest Class Center Accuracy: 0.441875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76079797744751
Linear Weight Rank: 179
Intra Cos: 0.009251750074326992
Inter Cos: 0.0005490757757797837
Norm Quadratic Average: 0.5489275455474854
Nearest Class Center Accuracy: 0.42475

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769800662994385
Linear Weight Rank: 180
Intra Cos: 0.009594105184078217
Inter Cos: 0.0019724706653505564
Norm Quadratic Average: 0.2031095176935196
Nearest Class Center Accuracy: 0.416625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790437698364258
Linear Weight Rank: 179
Intra Cos: 0.010190312750637531
Inter Cos: 0.0040009114891290665
Norm Quadratic Average: 0.07806196063756943
Nearest Class Center Accuracy: 0.402125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770325660705566
Linear Weight Rank: 180
Intra Cos: 0.010624932125210762
Inter Cos: 0.00469403900206089
Norm Quadratic Average: 0.027385275810956955
Nearest Class Center Accuracy: 0.395375

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765157699584961
Linear Weight Rank: 179
Intra Cos: 0.009866774082183838
Inter Cos: 0.003505375701934099
Norm Quadratic Average: 0.011000321246683598
Nearest Class Center Accuracy: 0.387

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1426078081130981
Linear Weight Rank: 4
Intra Cos: 0.010393233969807625
Inter Cos: 0.007001660764217377
Norm Quadratic Average: 0.004348816350102425
Nearest Class Center Accuracy: 0.383

Output Layer:
Intra Cos: 0.014519277028739452
Inter Cos: 0.03128419071435928
Norm Quadratic Average: 0.00041605750448070467
Nearest Class Center Accuracy: 0.362875

Test Set:
Average Loss: 1.383657642364502
Accuracy: 0.2695
NC1 Within Class Collapse: 83.99064636230469
NC2 Equinorm: Features: 0.20603524148464203, Weights: 0.021250519901514053
NC2 Equiangle: Features: 0.3304143746693929, Weights: 0.345115860303243
NC3 Self-Duality: 1.673518419265747
NC4 NCC Mismatch: 0.7344999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.784871578216553
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.798370361328125
Linear Weight Rank: 179
Intra Cos: 0.014100296422839165
Inter Cos: 0.005462711676955223
Norm Quadratic Average: 4.615821361541748
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.816944122314453
Linear Weight Rank: 179
Intra Cos: 0.00988457165658474
Inter Cos: 0.002795955166220665
Norm Quadratic Average: 1.559363603591919
Nearest Class Center Accuracy: 0.4435

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.76079797744751
Linear Weight Rank: 179
Intra Cos: 0.008679129183292389
Inter Cos: 0.0026207775808870792
Norm Quadratic Average: 0.5492881536483765
Nearest Class Center Accuracy: 0.4205

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769800662994385
Linear Weight Rank: 180
Intra Cos: 0.008529436774551868
Inter Cos: 0.004177400376647711
Norm Quadratic Average: 0.20317909121513367
Nearest Class Center Accuracy: 0.4025

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.790437698364258
Linear Weight Rank: 179
Intra Cos: 0.0097203915938735
Inter Cos: 0.0036200007889419794
Norm Quadratic Average: 0.07802735269069672
Nearest Class Center Accuracy: 0.4125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.770325660705566
Linear Weight Rank: 180
Intra Cos: 0.0097028948366642
Inter Cos: 0.004259497858583927
Norm Quadratic Average: 0.027392609044909477
Nearest Class Center Accuracy: 0.401

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.765157699584961
Linear Weight Rank: 179
Intra Cos: 0.00996918324381113
Inter Cos: 0.004629590082913637
Norm Quadratic Average: 0.011016694828867912
Nearest Class Center Accuracy: 0.3855

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1426078081130981
Linear Weight Rank: 4
Intra Cos: 0.009993592277169228
Inter Cos: 0.005379853770136833
Norm Quadratic Average: 0.004355583805590868
Nearest Class Center Accuracy: 0.372

Output Layer:
Intra Cos: 0.007010187953710556
Inter Cos: 0.023642603307962418
Norm Quadratic Average: 0.00042236846638843417
Nearest Class Center Accuracy: 0.366

