Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2776141166687012
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.817236065864563
Linear Weight Rank: 176
Intra Cos: 0.030962208285927773
Inter Cos: -0.004418226890265942
Norm Quadratic Average: 1.3673639297485352
Nearest Class Center Accuracy: 0.6195

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6952197551727295
Linear Weight Rank: 178
Intra Cos: 0.04090820625424385
Inter Cos: -0.008905312046408653
Norm Quadratic Average: 1.2789257764816284
Nearest Class Center Accuracy: 0.7325

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4692316055297852
Linear Weight Rank: 177
Intra Cos: 0.06905284523963928
Inter Cos: -0.014986966736614704
Norm Quadratic Average: 1.197698950767517
Nearest Class Center Accuracy: 0.871125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2045224905014038
Linear Weight Rank: 178
Intra Cos: 0.12075770646333694
Inter Cos: -0.034207701683044434
Norm Quadratic Average: 1.1113224029541016
Nearest Class Center Accuracy: 0.964875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9381940960884094
Linear Weight Rank: 178
Intra Cos: 0.24813641607761383
Inter Cos: -0.0805785059928894
Norm Quadratic Average: 1.0404313802719116
Nearest Class Center Accuracy: 0.99875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7972850203514099
Linear Weight Rank: 178
Intra Cos: 0.5683493614196777
Inter Cos: -0.16323792934417725
Norm Quadratic Average: 1.0696403980255127
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8142663836479187
Linear Weight Rank: 178
Intra Cos: 0.9116373062133789
Inter Cos: -0.18611080944538116
Norm Quadratic Average: 1.181571364402771
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1288511753082275
Linear Weight Rank: 4
Intra Cos: 0.9961736798286438
Inter Cos: -0.25690698623657227
Norm Quadratic Average: 2.4345977306365967
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.998753011226654
Inter Cos: -0.21870340406894684
Norm Quadratic Average: 2.9883944988250732
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7107702293395997
Accuracy: 0.7565
NC1 Within Class Collapse: 2.6623077392578125
NC2 Equinorm: Features: 0.029695911332964897, Weights: 0.0236258152872324
NC2 Equiangle: Features: 0.03571357578039169, Weights: 0.019630610942840576
NC3 Self-Duality: 0.006540635600686073
NC4 NCC Mismatch: 0.009000000000000008

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.2776141166687012
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.817236065864563
Linear Weight Rank: 176
Intra Cos: 0.027843542397022247
Inter Cos: -0.0016577402129769325
Norm Quadratic Average: 1.3710436820983887
Nearest Class Center Accuracy: 0.6095

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.6952197551727295
Linear Weight Rank: 178
Intra Cos: 0.03278941288590431
Inter Cos: -0.005134724546223879
Norm Quadratic Average: 1.2783989906311035
Nearest Class Center Accuracy: 0.676

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4692316055297852
Linear Weight Rank: 177
Intra Cos: 0.04789579287171364
Inter Cos: -0.008297222666442394
Norm Quadratic Average: 1.1898242235183716
Nearest Class Center Accuracy: 0.733

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.2045224905014038
Linear Weight Rank: 178
Intra Cos: 0.07307058572769165
Inter Cos: -0.018976913765072823
Norm Quadratic Average: 1.081141471862793
Nearest Class Center Accuracy: 0.756

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.9381940960884094
Linear Weight Rank: 178
Intra Cos: 0.12615714967250824
Inter Cos: -0.027115708217024803
Norm Quadratic Average: 0.9739407300949097
Nearest Class Center Accuracy: 0.76

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.7972850203514099
Linear Weight Rank: 178
Intra Cos: 0.2752005159854889
Inter Cos: -0.05180256441235542
Norm Quadratic Average: 0.9535763263702393
Nearest Class Center Accuracy: 0.7565

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8142663836479187
Linear Weight Rank: 178
Intra Cos: 0.4147031009197235
Inter Cos: -0.10405506193637848
Norm Quadratic Average: 1.0354188680648804
Nearest Class Center Accuracy: 0.7545

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1288511753082275
Linear Weight Rank: 4
Intra Cos: 0.47614890336990356
Inter Cos: -0.11760963499546051
Norm Quadratic Average: 2.1490890979766846
Nearest Class Center Accuracy: 0.756

Output Layer:
Intra Cos: 0.4783431887626648
Inter Cos: -0.125557541847229
Norm Quadratic Average: 2.6340103149414062
Nearest Class Center Accuracy: 0.7555

