Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_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: 5.127447605133057
Linear Weight Rank: 16
Intra Cos: 0.014583899639546871
Inter Cos: 0.004829856567084789
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: 5.53289270401001
Linear Weight Rank: 179
Intra Cos: 0.013017683289945126
Inter Cos: 0.00472743296995759
Norm Quadratic Average: 8.726346969604492
Nearest Class Center Accuracy: 0.459625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.429876327514648
Linear Weight Rank: 180
Intra Cos: 0.012711158022284508
Inter Cos: 0.002544989110901952
Norm Quadratic Average: 8.7133207321167
Nearest Class Center Accuracy: 0.49475

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.308359146118164
Linear Weight Rank: 179
Intra Cos: 0.013861645013093948
Inter Cos: 0.002933320589363575
Norm Quadratic Average: 8.684961318969727
Nearest Class Center Accuracy: 0.53225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.236434459686279
Linear Weight Rank: 180
Intra Cos: 0.019492177292704582
Inter Cos: 0.001849308842793107
Norm Quadratic Average: 8.686139106750488
Nearest Class Center Accuracy: 0.622625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.171618938446045
Linear Weight Rank: 179
Intra Cos: 0.030820045620203018
Inter Cos: 0.0021551079116761684
Norm Quadratic Average: 8.688499450683594
Nearest Class Center Accuracy: 0.75625

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.089662551879883
Linear Weight Rank: 179
Intra Cos: 0.052667055279016495
Inter Cos: -0.0058553810231387615
Norm Quadratic Average: 8.699771881103516
Nearest Class Center Accuracy: 0.93125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.052337646484375
Linear Weight Rank: 179
Intra Cos: 0.14844627678394318
Inter Cos: -0.03796928748488426
Norm Quadratic Average: 8.777117729187012
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1716349124908447
Linear Weight Rank: 4
Intra Cos: 0.4737758934497833
Inter Cos: -0.1407254934310913
Norm Quadratic Average: 9.217395782470703
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.947502076625824
Inter Cos: -0.2421095222234726
Norm Quadratic Average: 7.93603515625
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.0280995178222656
Accuracy: 0.496
NC1 Within Class Collapse: 15.511958122253418
NC2 Equinorm: Features: 0.057671695947647095, Weights: 0.037351515144109726
NC2 Equiangle: Features: 0.27487794558207196, Weights: 0.03988771140575409
NC3 Self-Duality: 0.18238084018230438
NC4 NCC Mismatch: 0.055499999999999994

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.127447605133057
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012287758290768
Norm Quadratic Average: 3.9761202335357666
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.53289270401001
Linear Weight Rank: 179
Intra Cos: 0.014190590009093285
Inter Cos: 0.004622233100235462
Norm Quadratic Average: 8.693758010864258
Nearest Class Center Accuracy: 0.4645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.429876327514648
Linear Weight Rank: 180
Intra Cos: 0.012482203543186188
Inter Cos: 0.0024842792190611362
Norm Quadratic Average: 8.69864273071289
Nearest Class Center Accuracy: 0.4905

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.308359146118164
Linear Weight Rank: 179
Intra Cos: 0.011261116713285446
Inter Cos: 0.003497473895549774
Norm Quadratic Average: 8.681622505187988
Nearest Class Center Accuracy: 0.5005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.236434459686279
Linear Weight Rank: 180
Intra Cos: 0.012208517640829086
Inter Cos: 0.003345666453242302
Norm Quadratic Average: 8.634167671203613
Nearest Class Center Accuracy: 0.517

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.171618938446045
Linear Weight Rank: 179
Intra Cos: 0.013438221998512745
Inter Cos: 0.005183275323361158
Norm Quadratic Average: 8.529603004455566
Nearest Class Center Accuracy: 0.511

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.089662551879883
Linear Weight Rank: 179
Intra Cos: 0.013124693185091019
Inter Cos: 0.005852310918271542
Norm Quadratic Average: 8.440293312072754
Nearest Class Center Accuracy: 0.5145

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.052337646484375
Linear Weight Rank: 179
Intra Cos: 0.021882571280002594
Inter Cos: 0.004617191385477781
Norm Quadratic Average: 8.161489486694336
Nearest Class Center Accuracy: 0.5355

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.1716349124908447
Linear Weight Rank: 4
Intra Cos: 0.05315681919455528
Inter Cos: 0.007744329050183296
Norm Quadratic Average: 7.680744171142578
Nearest Class Center Accuracy: 0.505

Output Layer:
Intra Cos: 0.12119989097118378
Inter Cos: 0.03265804424881935
Norm Quadratic Average: 5.700804710388184
Nearest Class Center Accuracy: 0.499

