Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.605897903442383
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552663803100586
Linear Weight Rank: 179
Intra Cos: 0.1181744709610939
Inter Cos: 0.008278333581984043
Norm Quadratic Average: 5.202025413513184
Nearest Class Center Accuracy: 0.924375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.538105964660645
Linear Weight Rank: 179
Intra Cos: 0.47523775696754456
Inter Cos: 0.03719202056527138
Norm Quadratic Average: 4.261861801147461
Nearest Class Center Accuracy: 0.960875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.568183898925781
Linear Weight Rank: 180
Intra Cos: 0.6617358922958374
Inter Cos: 0.07047881931066513
Norm Quadratic Average: 6.310355186462402
Nearest Class Center Accuracy: 0.951

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.551108360290527
Linear Weight Rank: 179
Intra Cos: 0.686998724937439
Inter Cos: 0.086419016122818
Norm Quadratic Average: 9.970661163330078
Nearest Class Center Accuracy: 0.949

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.002218008041382
Linear Weight Rank: 4
Intra Cos: 0.6625581383705139
Inter Cos: 0.09133124351501465
Norm Quadratic Average: 15.16065502166748
Nearest Class Center Accuracy: 0.943875

Output Layer:
Intra Cos: 0.7748812437057495
Inter Cos: 0.07879860699176788
Norm Quadratic Average: 28.162240982055664
Nearest Class Center Accuracy: 0.957875

Test Set:
Average Loss: 0.0724697322845459
Accuracy: 0.9675
NC1 Within Class Collapse: 1.5990357398986816
NC2 Equinorm: Features: 0.03910698741674423, Weights: 0.026203138753771782
NC2 Equiangle: Features: 0.43238365650177, Weights: 0.3737841844558716
NC3 Self-Duality: 0.13452917337417603
NC4 NCC Mismatch: 0.06299999999999994

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.605897903442383
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.552663803100586
Linear Weight Rank: 179
Intra Cos: 0.12100884318351746
Inter Cos: 0.00300510972738266
Norm Quadratic Average: 5.20092248916626
Nearest Class Center Accuracy: 0.9195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.538105964660645
Linear Weight Rank: 179
Intra Cos: 0.47032517194747925
Inter Cos: 0.034380145370960236
Norm Quadratic Average: 4.293815612792969
Nearest Class Center Accuracy: 0.9505

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.568183898925781
Linear Weight Rank: 180
Intra Cos: 0.6471848487854004
Inter Cos: 0.07421227544546127
Norm Quadratic Average: 6.36915397644043
Nearest Class Center Accuracy: 0.939

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.551108360290527
Linear Weight Rank: 179
Intra Cos: 0.6710711717605591
Inter Cos: 0.07715126872062683
Norm Quadratic Average: 10.057706832885742
Nearest Class Center Accuracy: 0.934

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.002218008041382
Linear Weight Rank: 4
Intra Cos: 0.6466949582099915
Inter Cos: 0.07709307968616486
Norm Quadratic Average: 15.288383483886719
Nearest Class Center Accuracy: 0.934

Output Layer:
Intra Cos: 0.7609089612960815
Inter Cos: 0.09411756694316864
Norm Quadratic Average: 28.351139068603516
Nearest Class Center Accuracy: 0.9455

