Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_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: 2.025480270385742
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: 2.403679132461548
Linear Weight Rank: 179
Intra Cos: 0.028181063011288643
Inter Cos: -0.004252511076629162
Norm Quadratic Average: 3.3486931324005127
Nearest Class Center Accuracy: 0.597

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.252254009246826
Linear Weight Rank: 179
Intra Cos: 0.03472599759697914
Inter Cos: -0.005984365940093994
Norm Quadratic Average: 3.3190605640411377
Nearest Class Center Accuracy: 0.69875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.026829242706299
Linear Weight Rank: 178
Intra Cos: 0.06092223897576332
Inter Cos: -0.009846481494605541
Norm Quadratic Average: 3.3022074699401855
Nearest Class Center Accuracy: 0.87225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9331692457199097
Linear Weight Rank: 177
Intra Cos: 0.19452612102031708
Inter Cos: -0.05639807507395744
Norm Quadratic Average: 3.283275604248047
Nearest Class Center Accuracy: 0.99925

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0859556198120117
Linear Weight Rank: 4
Intra Cos: 0.8625844717025757
Inter Cos: -0.21591247618198395
Norm Quadratic Average: 3.9361307621002197
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.985381007194519
Inter Cos: -0.2125338762998581
Norm Quadratic Average: 4.3641037940979
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.6927523250579835
Accuracy: 0.741
NC1 Within Class Collapse: 2.838669538497925
NC2 Equinorm: Features: 0.04065525159239769, Weights: 0.028296763077378273
NC2 Equiangle: Features: 0.05119691292444865, Weights: 0.022937436898549397
NC3 Self-Duality: 0.06692509353160858
NC4 NCC Mismatch: 0.008499999999999952

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.025480270385742
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: 2.403679132461548
Linear Weight Rank: 179
Intra Cos: 0.026394221931695938
Inter Cos: -0.003595710964873433
Norm Quadratic Average: 3.3643956184387207
Nearest Class Center Accuracy: 0.5945

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.252254009246826
Linear Weight Rank: 179
Intra Cos: 0.02803034894168377
Inter Cos: -0.0028109692502766848
Norm Quadratic Average: 3.3239455223083496
Nearest Class Center Accuracy: 0.652

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.026829242706299
Linear Weight Rank: 178
Intra Cos: 0.04514521360397339
Inter Cos: -0.0014449325390160084
Norm Quadratic Average: 3.2963743209838867
Nearest Class Center Accuracy: 0.703

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9331692457199097
Linear Weight Rank: 177
Intra Cos: 0.09785421937704086
Inter Cos: -0.012414009310305119
Norm Quadratic Average: 3.1651878356933594
Nearest Class Center Accuracy: 0.754

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0859556198120117
Linear Weight Rank: 4
Intra Cos: 0.36342665553092957
Inter Cos: -0.07357530295848846
Norm Quadratic Average: 3.352205753326416
Nearest Class Center Accuracy: 0.7435

Output Layer:
Intra Cos: 0.4556162655353546
Inter Cos: -0.0947333574295044
Norm Quadratic Average: 3.5509181022644043
Nearest Class Center Accuracy: 0.7425

