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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.907893657684326
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: 5.9533467292785645
Linear Weight Rank: 179
Intra Cos: 0.0651175007224083
Inter Cos: 0.0043738167732954025
Norm Quadratic Average: 10.134114265441895
Nearest Class Center Accuracy: 0.861875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.904092788696289
Linear Weight Rank: 179
Intra Cos: 0.09714929014444351
Inter Cos: 0.0012633433798328042
Norm Quadratic Average: 10.10838508605957
Nearest Class Center Accuracy: 0.91175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8665313720703125
Linear Weight Rank: 180
Intra Cos: 0.12283159047365189
Inter Cos: 0.0017630383372306824
Norm Quadratic Average: 10.070725440979004
Nearest Class Center Accuracy: 0.949625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.86435604095459
Linear Weight Rank: 180
Intra Cos: 0.15082402527332306
Inter Cos: 0.0014894363703206182
Norm Quadratic Average: 10.07772159576416
Nearest Class Center Accuracy: 0.969625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.848618984222412
Linear Weight Rank: 179
Intra Cos: 0.19036728143692017
Inter Cos: -0.010067269206047058
Norm Quadratic Average: 10.050806045532227
Nearest Class Center Accuracy: 0.99075

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.847568511962891
Linear Weight Rank: 179
Intra Cos: 0.27059996128082275
Inter Cos: -0.0203747246414423
Norm Quadratic Average: 10.017993927001953
Nearest Class Center Accuracy: 0.99975

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.837118625640869
Linear Weight Rank: 179
Intra Cos: 0.37300705909729004
Inter Cos: -0.0441599078476429
Norm Quadratic Average: 10.036222457885742
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7788028717041016
Linear Weight Rank: 4
Intra Cos: 0.602820634841919
Inter Cos: -0.14731217920780182
Norm Quadratic Average: 10.212775230407715
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9745955467224121
Inter Cos: -0.20726121962070465
Norm Quadratic Average: 7.826492786407471
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.3110278301239014
Accuracy: 0.886
NC1 Within Class Collapse: 1.054992914199829
NC2 Equinorm: Features: 0.013778331689536572, Weights: 0.024062469601631165
NC2 Equiangle: Features: 0.19251473744710287, Weights: 0.08532511194547017
NC3 Self-Duality: 0.19840587675571442
NC4 NCC Mismatch: 0.014499999999999957

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.907893657684326
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: 5.9533467292785645
Linear Weight Rank: 179
Intra Cos: 0.06345538049936295
Inter Cos: 0.0022745104506611824
Norm Quadratic Average: 10.119392395019531
Nearest Class Center Accuracy: 0.869

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.904092788696289
Linear Weight Rank: 179
Intra Cos: 0.09296751767396927
Inter Cos: 0.005185444373637438
Norm Quadratic Average: 10.09532356262207
Nearest Class Center Accuracy: 0.8955

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8665313720703125
Linear Weight Rank: 180
Intra Cos: 0.11466436833143234
Inter Cos: -0.0015379170654341578
Norm Quadratic Average: 10.083965301513672
Nearest Class Center Accuracy: 0.904

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.86435604095459
Linear Weight Rank: 180
Intra Cos: 0.13484790921211243
Inter Cos: 0.003819009754806757
Norm Quadratic Average: 10.045427322387695
Nearest Class Center Accuracy: 0.893

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.848618984222412
Linear Weight Rank: 179
Intra Cos: 0.15725009143352509
Inter Cos: -0.005268207751214504
Norm Quadratic Average: 9.979317665100098
Nearest Class Center Accuracy: 0.89

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.847568511962891
Linear Weight Rank: 179
Intra Cos: 0.20996013283729553
Inter Cos: -0.0070571270771324635
Norm Quadratic Average: 9.890223503112793
Nearest Class Center Accuracy: 0.897

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.837118625640869
Linear Weight Rank: 179
Intra Cos: 0.28745296597480774
Inter Cos: -0.010080610401928425
Norm Quadratic Average: 9.760810852050781
Nearest Class Center Accuracy: 0.8945

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.7788028717041016
Linear Weight Rank: 4
Intra Cos: 0.41919177770614624
Inter Cos: -0.06252717226743698
Norm Quadratic Average: 9.541158676147461
Nearest Class Center Accuracy: 0.892

Output Layer:
Intra Cos: 0.7135432958602905
Inter Cos: -0.0673983246088028
Norm Quadratic Average: 7.008086204528809
Nearest Class Center Accuracy: 0.892

