Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_200_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.562440872192383
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222447846084833
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: 8.461874008178711
Linear Weight Rank: 179
Intra Cos: 0.030995843932032585
Inter Cos: -0.0033744550310075283
Norm Quadratic Average: 5.061797618865967
Nearest Class Center Accuracy: 0.602

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.446165084838867
Linear Weight Rank: 179
Intra Cos: 0.0665779858827591
Inter Cos: -0.01252862997353077
Norm Quadratic Average: 2.6203725337982178
Nearest Class Center Accuracy: 0.681

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.474533081054688
Linear Weight Rank: 180
Intra Cos: 0.1713738888502121
Inter Cos: -0.031114067882299423
Norm Quadratic Average: 1.9819532632827759
Nearest Class Center Accuracy: 0.737875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.459321022033691
Linear Weight Rank: 179
Intra Cos: 0.259575754404068
Inter Cos: -0.06471081078052521
Norm Quadratic Average: 2.2908666133880615
Nearest Class Center Accuracy: 0.75425

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.725856065750122
Linear Weight Rank: 4
Intra Cos: 0.30281689763069153
Inter Cos: -0.059537239372730255
Norm Quadratic Average: 3.0622754096984863
Nearest Class Center Accuracy: 0.765125

Output Layer:
Intra Cos: 0.3402680456638336
Inter Cos: -0.033572640269994736
Norm Quadratic Average: 4.369706153869629
Nearest Class Center Accuracy: 0.763625

Test Set:
Average Loss: 0.6471561985015869
Accuracy: 0.7255
NC1 Within Class Collapse: 5.198552131652832
NC2 Equinorm: Features: 0.14183001220226288, Weights: 0.034997180104255676
NC2 Equiangle: Features: 0.16869483391443887, Weights: 0.062229275703430176
NC3 Self-Duality: 0.16023492813110352
NC4 NCC Mismatch: 0.08450000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.562440872192383
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.004549726843833923
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: 8.461874008178711
Linear Weight Rank: 179
Intra Cos: 0.027553407475352287
Inter Cos: -0.003174110082909465
Norm Quadratic Average: 5.064430236816406
Nearest Class Center Accuracy: 0.6025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.446165084838867
Linear Weight Rank: 179
Intra Cos: 0.058913424611091614
Inter Cos: -0.0072384607046842575
Norm Quadratic Average: 2.621304988861084
Nearest Class Center Accuracy: 0.6675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.474533081054688
Linear Weight Rank: 180
Intra Cos: 0.15691114962100983
Inter Cos: -0.01160157099366188
Norm Quadratic Average: 1.9807507991790771
Nearest Class Center Accuracy: 0.704

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.459321022033691
Linear Weight Rank: 179
Intra Cos: 0.23572033643722534
Inter Cos: -0.0301208533346653
Norm Quadratic Average: 2.2841243743896484
Nearest Class Center Accuracy: 0.7165

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.725856065750122
Linear Weight Rank: 4
Intra Cos: 0.2725512981414795
Inter Cos: -0.04597637802362442
Norm Quadratic Average: 3.0491342544555664
Nearest Class Center Accuracy: 0.722

Output Layer:
Intra Cos: 0.30370834469795227
Inter Cos: -0.04561714082956314
Norm Quadratic Average: 4.347668647766113
Nearest Class Center Accuracy: 0.726

