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_314159_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.1112189292907715
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445983439684
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: 2.643578290939331
Linear Weight Rank: 179
Intra Cos: 0.028238918632268906
Inter Cos: -0.003293556161224842
Norm Quadratic Average: 3.353245735168457
Nearest Class Center Accuracy: 0.607375

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.511756181716919
Linear Weight Rank: 180
Intra Cos: 0.03431576117873192
Inter Cos: -0.00456524733453989
Norm Quadratic Average: 3.3299570083618164
Nearest Class Center Accuracy: 0.694625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.359299421310425
Linear Weight Rank: 179
Intra Cos: 0.04792611300945282
Inter Cos: -0.008647607639431953
Norm Quadratic Average: 3.3211207389831543
Nearest Class Center Accuracy: 0.802

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2029902935028076
Linear Weight Rank: 179
Intra Cos: 0.07313606142997742
Inter Cos: -0.020127657800912857
Norm Quadratic Average: 3.307337760925293
Nearest Class Center Accuracy: 0.912625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0548689365386963
Linear Weight Rank: 179
Intra Cos: 0.12842051684856415
Inter Cos: -0.03651289641857147
Norm Quadratic Average: 3.299400806427002
Nearest Class Center Accuracy: 0.99

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9572513103485107
Linear Weight Rank: 179
Intra Cos: 0.2716643512248993
Inter Cos: -0.06429731100797653
Norm Quadratic Average: 3.3015496730804443
Nearest Class Center Accuracy: 0.999875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9285451173782349
Linear Weight Rank: 179
Intra Cos: 0.6350002288818359
Inter Cos: -0.15540631115436554
Norm Quadratic Average: 3.31142520904541
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.882743000984192
Linear Weight Rank: 4
Intra Cos: 0.9458598494529724
Inter Cos: -0.24280373752117157
Norm Quadratic Average: 3.8320703506469727
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.993593156337738
Inter Cos: -0.21975350379943848
Norm Quadratic Average: 4.018070220947266
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.7661334800720215
Accuracy: 0.732
NC1 Within Class Collapse: 2.9709150791168213
NC2 Equinorm: Features: 0.04097260162234306, Weights: 0.029654454439878464
NC2 Equiangle: Features: 0.058990160624186196, Weights: 0.019547576705614727
NC3 Self-Duality: 0.03517182543873787
NC4 NCC Mismatch: 0.011499999999999955

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.1112189292907715
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: 2.643578290939331
Linear Weight Rank: 179
Intra Cos: 0.02547893486917019
Inter Cos: -0.0027183801867067814
Norm Quadratic Average: 3.3642656803131104
Nearest Class Center Accuracy: 0.597

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.511756181716919
Linear Weight Rank: 180
Intra Cos: 0.02876947447657585
Inter Cos: -0.003421507077291608
Norm Quadratic Average: 3.330235719680786
Nearest Class Center Accuracy: 0.655

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.359299421310425
Linear Weight Rank: 179
Intra Cos: 0.03508773818612099
Inter Cos: -0.004780658986419439
Norm Quadratic Average: 3.3051679134368896
Nearest Class Center Accuracy: 0.692

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.2029902935028076
Linear Weight Rank: 179
Intra Cos: 0.04319092631340027
Inter Cos: -0.011242983862757683
Norm Quadratic Average: 3.254487991333008
Nearest Class Center Accuracy: 0.721

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0548689365386963
Linear Weight Rank: 179
Intra Cos: 0.061949897557497025
Inter Cos: -0.01055434811860323
Norm Quadratic Average: 3.173079013824463
Nearest Class Center Accuracy: 0.7385

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9572513103485107
Linear Weight Rank: 179
Intra Cos: 0.12053291499614716
Inter Cos: -0.021811576560139656
Norm Quadratic Average: 3.0706796646118164
Nearest Class Center Accuracy: 0.7395

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9285451173782349
Linear Weight Rank: 179
Intra Cos: 0.26527339220046997
Inter Cos: -0.04571707174181938
Norm Quadratic Average: 2.9368669986724854
Nearest Class Center Accuracy: 0.731

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.882743000984192
Linear Weight Rank: 4
Intra Cos: 0.39103013277053833
Inter Cos: -0.0848371833562851
Norm Quadratic Average: 3.239037275314331
Nearest Class Center Accuracy: 0.7315

Output Layer:
Intra Cos: 0.42921608686447144
Inter Cos: -0.10146030783653259
Norm Quadratic Average: 3.3402135372161865
Nearest Class Center Accuracy: 0.732

