Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.13320255279541
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222444586455822
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: 8.21792221069336
Linear Weight Rank: 180
Intra Cos: 0.025066446512937546
Inter Cos: -0.004399153403937817
Norm Quadratic Average: 13.968233108520508
Nearest Class Center Accuracy: 0.573125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150406837463379
Linear Weight Rank: 179
Intra Cos: 0.028375081717967987
Inter Cos: -0.004061948973685503
Norm Quadratic Average: 13.915016174316406
Nearest Class Center Accuracy: 0.62725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15843391418457
Linear Weight Rank: 180
Intra Cos: 0.03268076106905937
Inter Cos: -0.003920038230717182
Norm Quadratic Average: 13.876579284667969
Nearest Class Center Accuracy: 0.692375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.088274955749512
Linear Weight Rank: 179
Intra Cos: 0.04542471095919609
Inter Cos: -0.00842695776373148
Norm Quadratic Average: 13.843856811523438
Nearest Class Center Accuracy: 0.77475

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067461013793945
Linear Weight Rank: 180
Intra Cos: 0.05569599196314812
Inter Cos: -0.016037335619330406
Norm Quadratic Average: 13.820698738098145
Nearest Class Center Accuracy: 0.88975

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080992698669434
Linear Weight Rank: 180
Intra Cos: 0.09127195924520493
Inter Cos: -0.02131245657801628
Norm Quadratic Average: 13.829012870788574
Nearest Class Center Accuracy: 0.980125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051679611206055
Linear Weight Rank: 179
Intra Cos: 0.15950042009353638
Inter Cos: -0.03809254243969917
Norm Quadratic Average: 13.87110424041748
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.364088535308838
Linear Weight Rank: 4
Intra Cos: 0.36124491691589355
Inter Cos: -0.09563431888818741
Norm Quadratic Average: 14.118329048156738
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9231619834899902
Inter Cos: -0.1785716414451599
Norm Quadratic Average: 11.522320747375488
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.346049072265625
Accuracy: 0.697
NC1 Within Class Collapse: 3.927948236465454
NC2 Equinorm: Features: 0.08559177070856094, Weights: 0.02784348465502262
NC2 Equiangle: Features: 0.09513930479685466, Weights: 0.07346513867378235
NC3 Self-Duality: 0.20118768513202667
NC4 NCC Mismatch: 0.04049999999999998

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.13320255279541
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549723584204912
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.21792221069336
Linear Weight Rank: 180
Intra Cos: 0.02331259474158287
Inter Cos: -0.003177001141011715
Norm Quadratic Average: 13.972269058227539
Nearest Class Center Accuracy: 0.5885

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.150406837463379
Linear Weight Rank: 179
Intra Cos: 0.024964062497019768
Inter Cos: -0.0021373089402914047
Norm Quadratic Average: 13.879688262939453
Nearest Class Center Accuracy: 0.6095

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.15843391418457
Linear Weight Rank: 180
Intra Cos: 0.025640472769737244
Inter Cos: -0.003879149677231908
Norm Quadratic Average: 13.861769676208496
Nearest Class Center Accuracy: 0.6325

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.088274955749512
Linear Weight Rank: 179
Intra Cos: 0.03185700252652168
Inter Cos: -0.007040295749902725
Norm Quadratic Average: 13.773211479187012
Nearest Class Center Accuracy: 0.6645

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.067461013793945
Linear Weight Rank: 180
Intra Cos: 0.03630555048584938
Inter Cos: -0.006046104244887829
Norm Quadratic Average: 13.713391304016113
Nearest Class Center Accuracy: 0.684

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.080992698669434
Linear Weight Rank: 180
Intra Cos: 0.045112594962120056
Inter Cos: -0.008194883354008198
Norm Quadratic Average: 13.518115043640137
Nearest Class Center Accuracy: 0.709

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.051679611206055
Linear Weight Rank: 179
Intra Cos: 0.06371398270130157
Inter Cos: -0.012539585120975971
Norm Quadratic Average: 13.276649475097656
Nearest Class Center Accuracy: 0.706

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.364088535308838
Linear Weight Rank: 4
Intra Cos: 0.12362947314977646
Inter Cos: -0.019292041659355164
Norm Quadratic Average: 12.918797492980957
Nearest Class Center Accuracy: 0.703

Output Layer:
Intra Cos: 0.38144317269325256
Inter Cos: -0.05396975576877594
Norm Quadratic Average: 9.536981582641602
Nearest Class Center Accuracy: 0.6975

