Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_338327_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.103551864624023
Linear Weight Rank: 16
Intra Cos: 0.0798892006278038
Inter Cos: 0.001758486032485962
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: 8.139985084533691
Linear Weight Rank: 180
Intra Cos: 0.07083205878734589
Inter Cos: 0.0023569236509501934
Norm Quadratic Average: 13.951918601989746
Nearest Class Center Accuracy: 0.852

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081904411315918
Linear Weight Rank: 180
Intra Cos: 0.10605093091726303
Inter Cos: 0.004580742679536343
Norm Quadratic Average: 13.90185832977295
Nearest Class Center Accuracy: 0.916625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050267219543457
Linear Weight Rank: 179
Intra Cos: 0.13132837414741516
Inter Cos: 0.0077620819211006165
Norm Quadratic Average: 13.90807819366455
Nearest Class Center Accuracy: 0.93775

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060943603515625
Linear Weight Rank: 180
Intra Cos: 0.149262934923172
Inter Cos: 0.013555189594626427
Norm Quadratic Average: 13.89313793182373
Nearest Class Center Accuracy: 0.958875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06151294708252
Linear Weight Rank: 179
Intra Cos: 0.17177549004554749
Inter Cos: -0.00404361030086875
Norm Quadratic Average: 13.8538179397583
Nearest Class Center Accuracy: 0.984375

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039047241210938
Linear Weight Rank: 180
Intra Cos: 0.21893680095672607
Inter Cos: -0.011576819233596325
Norm Quadratic Average: 13.819697380065918
Nearest Class Center Accuracy: 0.999

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058890342712402
Linear Weight Rank: 179
Intra Cos: 0.2909384071826935
Inter Cos: -0.042094968259334564
Norm Quadratic Average: 13.804521560668945
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0495388507843018
Linear Weight Rank: 4
Intra Cos: 0.4484230577945709
Inter Cos: -0.09947971254587173
Norm Quadratic Average: 13.965079307556152
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9632871150970459
Inter Cos: -0.15337517857551575
Norm Quadratic Average: 10.879263877868652
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.396810266494751
Accuracy: 0.877
NC1 Within Class Collapse: 1.222940444946289
NC2 Equinorm: Features: 0.01671736314892769, Weights: 0.04064389690756798
NC2 Equiangle: Features: 0.2366374929745992, Weights: 0.10190327962239583
NC3 Self-Duality: 0.2265440970659256
NC4 NCC Mismatch: 0.02300000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.103551864624023
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033129025250673294
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: 8.139985084533691
Linear Weight Rank: 180
Intra Cos: 0.07266508042812347
Inter Cos: 0.004019788466393948
Norm Quadratic Average: 13.944005012512207
Nearest Class Center Accuracy: 0.85

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.081904411315918
Linear Weight Rank: 180
Intra Cos: 0.10375140607357025
Inter Cos: 0.006463715806603432
Norm Quadratic Average: 13.894546508789062
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.050267219543457
Linear Weight Rank: 179
Intra Cos: 0.12389177083969116
Inter Cos: 0.012482801452279091
Norm Quadratic Average: 13.908504486083984
Nearest Class Center Accuracy: 0.8995

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.060943603515625
Linear Weight Rank: 180
Intra Cos: 0.13993185758590698
Inter Cos: 0.018379610031843185
Norm Quadratic Average: 13.893632888793945
Nearest Class Center Accuracy: 0.8905

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.06151294708252
Linear Weight Rank: 179
Intra Cos: 0.15386521816253662
Inter Cos: 0.003270423039793968
Norm Quadratic Average: 13.778761863708496
Nearest Class Center Accuracy: 0.884

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.039047241210938
Linear Weight Rank: 180
Intra Cos: 0.18412108719348907
Inter Cos: 0.00045560533180832863
Norm Quadratic Average: 13.63058853149414
Nearest Class Center Accuracy: 0.897

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.058890342712402
Linear Weight Rank: 179
Intra Cos: 0.22289641201496124
Inter Cos: -0.013280026614665985
Norm Quadratic Average: 13.504851341247559
Nearest Class Center Accuracy: 0.8915

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0495388507843018
Linear Weight Rank: 4
Intra Cos: 0.32741543650627136
Inter Cos: -0.04018932580947876
Norm Quadratic Average: 13.309447288513184
Nearest Class Center Accuracy: 0.883

Output Layer:
Intra Cos: 0.6944336891174316
Inter Cos: -0.04479783773422241
Norm Quadratic Average: 9.948295593261719
Nearest Class Center Accuracy: 0.887

