Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.827315807342529
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584897577762604
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.78492546081543
Linear Weight Rank: 179
Intra Cos: 0.07527816295623779
Inter Cos: 0.0056902747601270676
Norm Quadratic Average: 13.394125938415527
Nearest Class Center Accuracy: 0.879375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7567315101623535
Linear Weight Rank: 179
Intra Cos: 0.11417417973279953
Inter Cos: 0.004270195495337248
Norm Quadratic Average: 13.37415885925293
Nearest Class Center Accuracy: 0.923625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.794188022613525
Linear Weight Rank: 180
Intra Cos: 0.15640069544315338
Inter Cos: -0.0006103486521169543
Norm Quadratic Average: 13.371342658996582
Nearest Class Center Accuracy: 0.962125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.751107692718506
Linear Weight Rank: 180
Intra Cos: 0.21646122634410858
Inter Cos: -0.006728818640112877
Norm Quadratic Average: 13.31309986114502
Nearest Class Center Accuracy: 0.99775

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4001290798187256
Linear Weight Rank: 4
Intra Cos: 0.37647727131843567
Inter Cos: -0.04373957961797714
Norm Quadratic Average: 13.418495178222656
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9229957461357117
Inter Cos: -0.05355297029018402
Norm Quadratic Average: 11.747361183166504
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.24806485176086426
Accuracy: 0.904
NC1 Within Class Collapse: 1.2766273021697998
NC2 Equinorm: Features: 0.008015966974198818, Weights: 0.016918664798140526
NC2 Equiangle: Features: 0.30466918150583905, Weights: 0.13500322898228964
NC3 Self-Duality: 0.21045485138893127
NC4 NCC Mismatch: 0.020000000000000018

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.827315807342529
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.78492546081543
Linear Weight Rank: 179
Intra Cos: 0.07367947697639465
Inter Cos: 0.005835006944835186
Norm Quadratic Average: 13.379918098449707
Nearest Class Center Accuracy: 0.8845

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7567315101623535
Linear Weight Rank: 179
Intra Cos: 0.10975774377584457
Inter Cos: 0.0038722152821719646
Norm Quadratic Average: 13.385716438293457
Nearest Class Center Accuracy: 0.9065

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.794188022613525
Linear Weight Rank: 180
Intra Cos: 0.14189966022968292
Inter Cos: 0.007494347169995308
Norm Quadratic Average: 13.404918670654297
Nearest Class Center Accuracy: 0.9135

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.751107692718506
Linear Weight Rank: 180
Intra Cos: 0.18797460198402405
Inter Cos: -0.004134044051170349
Norm Quadratic Average: 13.281293869018555
Nearest Class Center Accuracy: 0.9245

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4001290798187256
Linear Weight Rank: 4
Intra Cos: 0.2970162332057953
Inter Cos: -0.013387247920036316
Norm Quadratic Average: 13.200214385986328
Nearest Class Center Accuracy: 0.915

Output Layer:
Intra Cos: 0.7426019310951233
Inter Cos: 0.007180653512477875
Norm Quadratic Average: 11.323946952819824
Nearest Class Center Accuracy: 0.912

