Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.382280349731445
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
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: 8.413159370422363
Linear Weight Rank: 179
Intra Cos: 0.12031102180480957
Inter Cos: 0.007485748268663883
Norm Quadratic Average: 5.123188018798828
Nearest Class Center Accuracy: 0.932875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.399791717529297
Linear Weight Rank: 179
Intra Cos: 0.48417600989341736
Inter Cos: 0.03791861608624458
Norm Quadratic Average: 4.1088337898254395
Nearest Class Center Accuracy: 0.97225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.38302230834961
Linear Weight Rank: 179
Intra Cos: 0.675571858882904
Inter Cos: 0.06243203580379486
Norm Quadratic Average: 5.882932186126709
Nearest Class Center Accuracy: 0.972

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.410628318786621
Linear Weight Rank: 179
Intra Cos: 0.7232208251953125
Inter Cos: 0.03881020471453667
Norm Quadratic Average: 9.04029655456543
Nearest Class Center Accuracy: 0.98375

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9537503719329834
Linear Weight Rank: 4
Intra Cos: 0.7293331027030945
Inter Cos: 0.027650918811559677
Norm Quadratic Average: 13.373764038085938
Nearest Class Center Accuracy: 0.983875

Output Layer:
Intra Cos: 0.8389553427696228
Inter Cos: 0.07244959473609924
Norm Quadratic Average: 24.861534118652344
Nearest Class Center Accuracy: 0.985625

Test Set:
Average Loss: 0.06216116857528686
Accuracy: 0.9695
NC1 Within Class Collapse: 1.5036160945892334
NC2 Equinorm: Features: 0.04466583952307701, Weights: 0.04783860594034195
NC2 Equiangle: Features: 0.42829092343648273, Weights: 0.3726497491200765
NC3 Self-Duality: 0.11197999864816666
NC4 NCC Mismatch: 0.021499999999999964

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.382280349731445
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
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: 8.413159370422363
Linear Weight Rank: 179
Intra Cos: 0.11795984208583832
Inter Cos: 0.00443569291383028
Norm Quadratic Average: 5.125332832336426
Nearest Class Center Accuracy: 0.928

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.399791717529297
Linear Weight Rank: 179
Intra Cos: 0.4809650778770447
Inter Cos: 0.024930275976657867
Norm Quadratic Average: 4.148258686065674
Nearest Class Center Accuracy: 0.956

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.38302230834961
Linear Weight Rank: 179
Intra Cos: 0.6779106855392456
Inter Cos: 0.04753632843494415
Norm Quadratic Average: 5.947377681732178
Nearest Class Center Accuracy: 0.9515

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.410628318786621
Linear Weight Rank: 179
Intra Cos: 0.7172055840492249
Inter Cos: 0.046831537038087845
Norm Quadratic Average: 9.132455825805664
Nearest Class Center Accuracy: 0.963

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.9537503719329834
Linear Weight Rank: 4
Intra Cos: 0.7421771287918091
Inter Cos: 0.03949112445116043
Norm Quadratic Average: 13.493436813354492
Nearest Class Center Accuracy: 0.9655

Output Layer:
Intra Cos: 0.8289576768875122
Inter Cos: 0.05810202658176422
Norm Quadratic Average: 25.020095825195312
Nearest Class Center Accuracy: 0.968

