Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_265358_weight_decay_0.0003.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.188034057617188
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829856567084789
Norm Quadratic Average: 3.99314022064209
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241744995117188
Linear Weight Rank: 180
Intra Cos: 0.012252737767994404
Inter Cos: 0.003113179700449109
Norm Quadratic Average: 13.93122673034668
Nearest Class Center Accuracy: 0.455875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16298770904541
Linear Weight Rank: 181
Intra Cos: 0.011707634665071964
Inter Cos: 0.0027392760384827852
Norm Quadratic Average: 13.927483558654785
Nearest Class Center Accuracy: 0.490875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129570960998535
Linear Weight Rank: 180
Intra Cos: 0.012651556171476841
Inter Cos: 0.002934737829491496
Norm Quadratic Average: 13.891416549682617
Nearest Class Center Accuracy: 0.564625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05494213104248
Linear Weight Rank: 180
Intra Cos: 0.024915706366300583
Inter Cos: -0.00028586998814716935
Norm Quadratic Average: 13.870222091674805
Nearest Class Center Accuracy: 0.8015

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2599713802337646
Linear Weight Rank: 4
Intra Cos: 0.1139938160777092
Inter Cos: -0.026918353512883186
Norm Quadratic Average: 14.19207763671875
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.8629840612411499
Inter Cos: -0.1952969878911972
Norm Quadratic Average: 9.88160228729248
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.3513283767700197
Accuracy: 0.511
NC1 Within Class Collapse: 12.95698070526123
NC2 Equinorm: Features: 0.047640614211559296, Weights: 0.00899019930511713
NC2 Equiangle: Features: 0.26099757353464764, Weights: 0.0360683004061381
NC3 Self-Duality: 0.3333801329135895
NC4 NCC Mismatch: 0.14500000000000002

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.188034057617188
Linear Weight Rank: 16
Intra Cos: 0.014108890667557716
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.241744995117188
Linear Weight Rank: 180
Intra Cos: 0.013311699032783508
Inter Cos: 0.0031657186336815357
Norm Quadratic Average: 13.908628463745117
Nearest Class Center Accuracy: 0.4665

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.16298770904541
Linear Weight Rank: 181
Intra Cos: 0.01155821606516838
Inter Cos: 0.0018986955983564258
Norm Quadratic Average: 13.885408401489258
Nearest Class Center Accuracy: 0.5005

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.129570960998535
Linear Weight Rank: 180
Intra Cos: 0.008575000800192356
Inter Cos: 0.0024184451904147863
Norm Quadratic Average: 13.861322402954102
Nearest Class Center Accuracy: 0.508

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.05494213104248
Linear Weight Rank: 180
Intra Cos: 0.00835286546498537
Inter Cos: 0.0024773203767836094
Norm Quadratic Average: 13.776979446411133
Nearest Class Center Accuracy: 0.52

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.2599713802337646
Linear Weight Rank: 4
Intra Cos: 0.017620759084820747
Inter Cos: 0.002939177444204688
Norm Quadratic Average: 13.770305633544922
Nearest Class Center Accuracy: 0.5415

Output Layer:
Intra Cos: 0.13627803325653076
Inter Cos: 0.019969012588262558
Norm Quadratic Average: 8.228954315185547
Nearest Class Center Accuracy: 0.5055

