Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.812113285064697
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829856101423502
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9894890785217285
Linear Weight Rank: 180
Intra Cos: 0.012861325405538082
Inter Cos: 0.004644208122044802
Norm Quadratic Average: 13.4751558303833
Nearest Class Center Accuracy: 0.457125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947957992553711
Linear Weight Rank: 179
Intra Cos: 0.01112461369484663
Inter Cos: 0.002735221991315484
Norm Quadratic Average: 13.4645357131958
Nearest Class Center Accuracy: 0.4865

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8328118324279785
Linear Weight Rank: 180
Intra Cos: 0.013701866380870342
Inter Cos: 0.002476066816598177
Norm Quadratic Average: 13.439130783081055
Nearest Class Center Accuracy: 0.568375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.79082727432251
Linear Weight Rank: 179
Intra Cos: 0.027573438361287117
Inter Cos: -0.00263980939052999
Norm Quadratic Average: 13.397927284240723
Nearest Class Center Accuracy: 0.81525

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2176687717437744
Linear Weight Rank: 4
Intra Cos: 0.12226855009794235
Inter Cos: -0.030840624123811722
Norm Quadratic Average: 13.750321388244629
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8663373589515686
Inter Cos: -0.20379827916622162
Norm Quadratic Average: 9.635380744934082
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.2829377670288085
Accuracy: 0.5135
NC1 Within Class Collapse: 12.385494232177734
NC2 Equinorm: Features: 0.06286190450191498, Weights: 0.028283344581723213
NC2 Equiangle: Features: 0.24000362555185953, Weights: 0.04577169815699259
NC3 Self-Duality: 0.32615262269973755
NC4 NCC Mismatch: 0.14549999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.812113285064697
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012289620935917
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9894890785217285
Linear Weight Rank: 180
Intra Cos: 0.014253361150622368
Inter Cos: 0.004689917434006929
Norm Quadratic Average: 13.430715560913086
Nearest Class Center Accuracy: 0.4555

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.947957992553711
Linear Weight Rank: 179
Intra Cos: 0.010588213801383972
Inter Cos: 0.0032353822607547045
Norm Quadratic Average: 13.456056594848633
Nearest Class Center Accuracy: 0.4875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.8328118324279785
Linear Weight Rank: 180
Intra Cos: 0.009216382168233395
Inter Cos: 0.003156116930767894
Norm Quadratic Average: 13.4550142288208
Nearest Class Center Accuracy: 0.489

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.79082727432251
Linear Weight Rank: 179
Intra Cos: 0.009649913758039474
Inter Cos: 0.001557052368298173
Norm Quadratic Average: 13.406463623046875
Nearest Class Center Accuracy: 0.5145

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2176687717437744
Linear Weight Rank: 4
Intra Cos: 0.020889468491077423
Inter Cos: 0.002910767449066043
Norm Quadratic Average: 13.374024391174316
Nearest Class Center Accuracy: 0.5475

Output Layer:
Intra Cos: 0.1409294307231903
Inter Cos: 0.011707866564393044
Norm Quadratic Average: 8.06532096862793
Nearest Class Center Accuracy: 0.512

