Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_200_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_314159_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.773625373840332
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.0017584823071956635
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.855079650878906
Linear Weight Rank: 179
Intra Cos: 0.07539942115545273
Inter Cos: 0.006296558305621147
Norm Quadratic Average: 13.400603294372559
Nearest Class Center Accuracy: 0.867875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.841884136199951
Linear Weight Rank: 179
Intra Cos: 0.10160505026578903
Inter Cos: 0.00825898814946413
Norm Quadratic Average: 13.377667427062988
Nearest Class Center Accuracy: 0.913375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768653869628906
Linear Weight Rank: 179
Intra Cos: 0.12814517319202423
Inter Cos: 0.004577432759106159
Norm Quadratic Average: 13.366385459899902
Nearest Class Center Accuracy: 0.9405

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763826370239258
Linear Weight Rank: 179
Intra Cos: 0.14545488357543945
Inter Cos: 0.0011568141635507345
Norm Quadratic Average: 13.331928253173828
Nearest Class Center Accuracy: 0.972125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775523662567139
Linear Weight Rank: 179
Intra Cos: 0.1816997081041336
Inter Cos: 0.002803102834150195
Norm Quadratic Average: 13.323419570922852
Nearest Class Center Accuracy: 0.99175

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750916957855225
Linear Weight Rank: 180
Intra Cos: 0.243274986743927
Inter Cos: -0.007957284338772297
Norm Quadratic Average: 13.287240982055664
Nearest Class Center Accuracy: 0.9995

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742559909820557
Linear Weight Rank: 179
Intra Cos: 0.3402767777442932
Inter Cos: -0.048579659312963486
Norm Quadratic Average: 13.275938034057617
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0412182807922363
Linear Weight Rank: 4
Intra Cos: 0.5052357316017151
Inter Cos: -0.09277064353227615
Norm Quadratic Average: 13.44184398651123
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9653128385543823
Inter Cos: -0.14655287563800812
Norm Quadratic Average: 10.631731986999512
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.40621790981292727
Accuracy: 0.8755
NC1 Within Class Collapse: 1.212245225906372
NC2 Equinorm: Features: 0.021287739276885986, Weights: 0.03973746672272682
NC2 Equiangle: Features: 0.21680943171183267, Weights: 0.13291257619857788
NC3 Self-Duality: 0.2344125509262085
NC4 NCC Mismatch: 0.013000000000000012

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.773625373840332
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.855079650878906
Linear Weight Rank: 179
Intra Cos: 0.0764695554971695
Inter Cos: 0.007505189161747694
Norm Quadratic Average: 13.383790016174316
Nearest Class Center Accuracy: 0.874

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.841884136199951
Linear Weight Rank: 179
Intra Cos: 0.09672016650438309
Inter Cos: 0.0025457555893808603
Norm Quadratic Average: 13.41231918334961
Nearest Class Center Accuracy: 0.896

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768653869628906
Linear Weight Rank: 179
Intra Cos: 0.11849865317344666
Inter Cos: 0.003224202897399664
Norm Quadratic Average: 13.382518768310547
Nearest Class Center Accuracy: 0.8955

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763826370239258
Linear Weight Rank: 179
Intra Cos: 0.13668256998062134
Inter Cos: 0.00019187992438673973
Norm Quadratic Average: 13.3569917678833
Nearest Class Center Accuracy: 0.8975

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.775523662567139
Linear Weight Rank: 179
Intra Cos: 0.15563884377479553
Inter Cos: 0.0012125265784561634
Norm Quadratic Average: 13.315301895141602
Nearest Class Center Accuracy: 0.894

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.750916957855225
Linear Weight Rank: 180
Intra Cos: 0.19234170019626617
Inter Cos: -0.005403589922934771
Norm Quadratic Average: 13.168253898620605
Nearest Class Center Accuracy: 0.89

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.742559909820557
Linear Weight Rank: 179
Intra Cos: 0.23643608391284943
Inter Cos: -0.016012297943234444
Norm Quadratic Average: 13.010584831237793
Nearest Class Center Accuracy: 0.8795

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.0412182807922363
Linear Weight Rank: 4
Intra Cos: 0.33775052428245544
Inter Cos: -0.046697068959474564
Norm Quadratic Average: 12.871725082397461
Nearest Class Center Accuracy: 0.879

Output Layer:
Intra Cos: 0.6939007043838501
Inter Cos: -0.06116403639316559
Norm Quadratic Average: 9.790525436401367
Nearest Class Center Accuracy: 0.878

