Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_depth_MLP_9_rand_seed_846264_weight_decay_0.003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.15742301940918
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.194281101226807
Linear Weight Rank: 179
Intra Cos: 0.06438322365283966
Inter Cos: 0.00428634462878108
Norm Quadratic Average: 12.27943229675293
Nearest Class Center Accuracy: 0.859875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.142081260681152
Linear Weight Rank: 179
Intra Cos: 0.0939650610089302
Inter Cos: 0.0030466062016785145
Norm Quadratic Average: 12.247841835021973
Nearest Class Center Accuracy: 0.902625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101079940795898
Linear Weight Rank: 180
Intra Cos: 0.11566302925348282
Inter Cos: 0.0033211540430784225
Norm Quadratic Average: 12.209503173828125
Nearest Class Center Accuracy: 0.94225

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101207256317139
Linear Weight Rank: 180
Intra Cos: 0.14026546478271484
Inter Cos: 0.0017888383008539677
Norm Quadratic Average: 12.214701652526855
Nearest Class Center Accuracy: 0.9685

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084745407104492
Linear Weight Rank: 179
Intra Cos: 0.177409365773201
Inter Cos: -0.005729170516133308
Norm Quadratic Average: 12.184942245483398
Nearest Class Center Accuracy: 0.991125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084779739379883
Linear Weight Rank: 179
Intra Cos: 0.24234338104724884
Inter Cos: -0.014544474892318249
Norm Quadratic Average: 12.120635032653809
Nearest Class Center Accuracy: 0.999125

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0725202560424805
Linear Weight Rank: 179
Intra Cos: 0.3190738558769226
Inter Cos: -0.03250402212142944
Norm Quadratic Average: 12.12663459777832
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9298845529556274
Linear Weight Rank: 4
Intra Cos: 0.5084709525108337
Inter Cos: -0.11701677739620209
Norm Quadratic Average: 12.261505126953125
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9621102213859558
Inter Cos: -0.161409392952919
Norm Quadratic Average: 9.379524230957031
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.32944167995452883
Accuracy: 0.88
NC1 Within Class Collapse: 1.1658531427383423
NC2 Equinorm: Features: 0.019411105662584305, Weights: 0.023792440071702003
NC2 Equiangle: Features: 0.21648567914962769, Weights: 0.10597254832585652
NC3 Self-Duality: 0.22729799151420593
NC4 NCC Mismatch: 0.01749999999999996

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.15742301940918
Linear Weight Rank: 16
Intra Cos: 0.08033028990030289
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.194281101226807
Linear Weight Rank: 179
Intra Cos: 0.06288697570562363
Inter Cos: 0.002380491467192769
Norm Quadratic Average: 12.261186599731445
Nearest Class Center Accuracy: 0.8625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.142081260681152
Linear Weight Rank: 179
Intra Cos: 0.09023600816726685
Inter Cos: 0.00485097523778677
Norm Quadratic Average: 12.227004051208496
Nearest Class Center Accuracy: 0.8825

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101079940795898
Linear Weight Rank: 180
Intra Cos: 0.10781937837600708
Inter Cos: -0.0011510268086567521
Norm Quadratic Average: 12.220858573913574
Nearest Class Center Accuracy: 0.8915

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.101207256317139
Linear Weight Rank: 180
Intra Cos: 0.1253332644701004
Inter Cos: 0.004073961637914181
Norm Quadratic Average: 12.180071830749512
Nearest Class Center Accuracy: 0.889

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084745407104492
Linear Weight Rank: 179
Intra Cos: 0.14837579429149628
Inter Cos: -0.0006449943175539374
Norm Quadratic Average: 12.117758750915527
Nearest Class Center Accuracy: 0.901

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.084779739379883
Linear Weight Rank: 179
Intra Cos: 0.1883796751499176
Inter Cos: -0.002289409749209881
Norm Quadratic Average: 11.988421440124512
Nearest Class Center Accuracy: 0.896

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.0725202560424805
Linear Weight Rank: 179
Intra Cos: 0.2436225861310959
Inter Cos: -0.005524442531168461
Norm Quadratic Average: 11.866683006286621
Nearest Class Center Accuracy: 0.8955

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9298845529556274
Linear Weight Rank: 4
Intra Cos: 0.3538495898246765
Inter Cos: -0.041609156876802444
Norm Quadratic Average: 11.64649772644043
Nearest Class Center Accuracy: 0.886

Output Layer:
Intra Cos: 0.7055572271347046
Inter Cos: -0.04103105515241623
Norm Quadratic Average: 8.523740768432617
Nearest Class Center Accuracy: 0.8835

