Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.073496341705322
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.084491729736328
Linear Weight Rank: 179
Intra Cos: 0.024891864508390427
Inter Cos: -0.0021441210992634296
Norm Quadratic Average: 3.023333787918091
Nearest Class Center Accuracy: 0.5685

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.097111225128174
Linear Weight Rank: 179
Intra Cos: 0.04021171107888222
Inter Cos: 0.006934547796845436
Norm Quadratic Average: 0.7868478894233704
Nearest Class Center Accuracy: 0.5435

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.061703681945801
Linear Weight Rank: 179
Intra Cos: 0.07231775671243668
Inter Cos: 0.022198284044861794
Norm Quadratic Average: 0.254448264837265
Nearest Class Center Accuracy: 0.521

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068482398986816
Linear Weight Rank: 180
Intra Cos: 0.10059680044651031
Inter Cos: 0.0358646959066391
Norm Quadratic Average: 0.10430239140987396
Nearest Class Center Accuracy: 0.503

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8785796761512756
Linear Weight Rank: 4
Intra Cos: 0.11727391183376312
Inter Cos: 0.03915327787399292
Norm Quadratic Average: 0.04965802654623985
Nearest Class Center Accuracy: 0.482125

Output Layer:
Intra Cos: 0.10914895683526993
Inter Cos: 0.053143978118896484
Norm Quadratic Average: 0.020767053589224815
Nearest Class Center Accuracy: 0.462625

Test Set:
Average Loss: 1.379685604095459
Accuracy: 0.255
NC1 Within Class Collapse: 14.105354309082031
NC2 Equinorm: Features: 0.5061353445053101, Weights: 0.08601376414299011
NC2 Equiangle: Features: 0.5661906003952026, Weights: 0.2294388214747111
NC3 Self-Duality: 0.7476938366889954
NC4 NCC Mismatch: 0.8195

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.073496341705322
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
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: 5.084491729736328
Linear Weight Rank: 179
Intra Cos: 0.024424001574516296
Inter Cos: -0.001089434721507132
Norm Quadratic Average: 3.031057596206665
Nearest Class Center Accuracy: 0.561

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.097111225128174
Linear Weight Rank: 179
Intra Cos: 0.03671453893184662
Inter Cos: 0.010263094678521156
Norm Quadratic Average: 0.7863120436668396
Nearest Class Center Accuracy: 0.544

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.061703681945801
Linear Weight Rank: 179
Intra Cos: 0.06692387163639069
Inter Cos: 0.03165353462100029
Norm Quadratic Average: 0.25322258472442627
Nearest Class Center Accuracy: 0.526

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068482398986816
Linear Weight Rank: 180
Intra Cos: 0.10791690647602081
Inter Cos: 0.05267788842320442
Norm Quadratic Average: 0.10370843857526779
Nearest Class Center Accuracy: 0.5035

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.8785796761512756
Linear Weight Rank: 4
Intra Cos: 0.11623647809028625
Inter Cos: 0.06006775423884392
Norm Quadratic Average: 0.04935910925269127
Nearest Class Center Accuracy: 0.4865

Output Layer:
Intra Cos: 0.10305535793304443
Inter Cos: 0.06283488124608994
Norm Quadratic Average: 0.020632773637771606
Nearest Class Center Accuracy: 0.473

