Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.192234039306641
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
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: 5.53605842590332
Linear Weight Rank: 179
Intra Cos: 0.01203552819788456
Inter Cos: 0.002749319653958082
Norm Quadratic Average: 8.746655464172363
Nearest Class Center Accuracy: 0.46

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.41075325012207
Linear Weight Rank: 179
Intra Cos: 0.011207866482436657
Inter Cos: 0.0023459955118596554
Norm Quadratic Average: 8.723870277404785
Nearest Class Center Accuracy: 0.493625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.337143421173096
Linear Weight Rank: 180
Intra Cos: 0.013029016554355621
Inter Cos: 0.002574565354734659
Norm Quadratic Average: 8.71777057647705
Nearest Class Center Accuracy: 0.54

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.242920398712158
Linear Weight Rank: 179
Intra Cos: 0.017571842297911644
Inter Cos: 0.001605514669790864
Norm Quadratic Average: 8.70162582397461
Nearest Class Center Accuracy: 0.605375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.176202774047852
Linear Weight Rank: 179
Intra Cos: 0.027652952820062637
Inter Cos: -8.28890479169786e-05
Norm Quadratic Average: 8.697725296020508
Nearest Class Center Accuracy: 0.726625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.091187477111816
Linear Weight Rank: 179
Intra Cos: 0.053018487989902496
Inter Cos: -0.005930741783231497
Norm Quadratic Average: 8.70317554473877
Nearest Class Center Accuracy: 0.926625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055786609649658
Linear Weight Rank: 179
Intra Cos: 0.1398555487394333
Inter Cos: -0.024770205840468407
Norm Quadratic Average: 8.770386695861816
Nearest Class Center Accuracy: 0.999625

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.184191942214966
Linear Weight Rank: 4
Intra Cos: 0.45627927780151367
Inter Cos: -0.1292242556810379
Norm Quadratic Average: 9.17028522491455
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9417036771774292
Inter Cos: -0.22179527580738068
Norm Quadratic Average: 7.844470500946045
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.88507763671875
Accuracy: 0.534
NC1 Within Class Collapse: 13.664766311645508
NC2 Equinorm: Features: 0.08307592570781708, Weights: 0.028846878558397293
NC2 Equiangle: Features: 0.24755255381266275, Weights: 0.03463945041100184
NC3 Self-Duality: 0.18156766891479492
NC4 NCC Mismatch: 0.05300000000000005

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.192234039306641
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.53605842590332
Linear Weight Rank: 179
Intra Cos: 0.013259651139378548
Inter Cos: 0.0027791245374828577
Norm Quadratic Average: 8.732276916503906
Nearest Class Center Accuracy: 0.4765

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.41075325012207
Linear Weight Rank: 179
Intra Cos: 0.010698052123188972
Inter Cos: 0.0020756202284246683
Norm Quadratic Average: 8.705459594726562
Nearest Class Center Accuracy: 0.5035

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.337143421173096
Linear Weight Rank: 180
Intra Cos: 0.009569891728460789
Inter Cos: 0.0021079445723444223
Norm Quadratic Average: 8.690308570861816
Nearest Class Center Accuracy: 0.503

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.242920398712158
Linear Weight Rank: 179
Intra Cos: 0.010293679311871529
Inter Cos: 0.002881719497963786
Norm Quadratic Average: 8.629454612731934
Nearest Class Center Accuracy: 0.5115

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.176202774047852
Linear Weight Rank: 179
Intra Cos: 0.011112523265182972
Inter Cos: 0.0026721754111349583
Norm Quadratic Average: 8.554874420166016
Nearest Class Center Accuracy: 0.5185

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.091187477111816
Linear Weight Rank: 179
Intra Cos: 0.013376019895076752
Inter Cos: 0.002217034110799432
Norm Quadratic Average: 8.431405067443848
Nearest Class Center Accuracy: 0.5195

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055786609649658
Linear Weight Rank: 179
Intra Cos: 0.020890161395072937
Inter Cos: 0.003462833119556308
Norm Quadratic Average: 8.203189849853516
Nearest Class Center Accuracy: 0.536

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.184191942214966
Linear Weight Rank: 4
Intra Cos: 0.05169970914721489
Inter Cos: 0.0046713706105947495
Norm Quadratic Average: 7.653055667877197
Nearest Class Center Accuracy: 0.537

Output Layer:
Intra Cos: 0.12364291399717331
Inter Cos: 0.015399172902107239
Norm Quadratic Average: 5.599322319030762
Nearest Class Center Accuracy: 0.5355

