Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.166067123413086
Linear Weight Rank: 16
Intra Cos: 0.014583898708224297
Inter Cos: 0.004829855635762215
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: 5.51684045791626
Linear Weight Rank: 179
Intra Cos: 0.012387631461024284
Inter Cos: 0.005029289983212948
Norm Quadratic Average: 8.751286506652832
Nearest Class Center Accuracy: 0.4605

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.399021148681641
Linear Weight Rank: 179
Intra Cos: 0.011964847333729267
Inter Cos: 0.003171009011566639
Norm Quadratic Average: 8.714926719665527
Nearest Class Center Accuracy: 0.489375

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.342630863189697
Linear Weight Rank: 180
Intra Cos: 0.011808103881776333
Inter Cos: 0.0007464008522219956
Norm Quadratic Average: 8.69638729095459
Nearest Class Center Accuracy: 0.53675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.238344669342041
Linear Weight Rank: 180
Intra Cos: 0.016844242811203003
Inter Cos: -0.001686134492047131
Norm Quadratic Average: 8.668254852294922
Nearest Class Center Accuracy: 0.625625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.163841724395752
Linear Weight Rank: 179
Intra Cos: 0.027462385594844818
Inter Cos: -0.003802237333729863
Norm Quadratic Average: 8.678102493286133
Nearest Class Center Accuracy: 0.76175

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.113040447235107
Linear Weight Rank: 180
Intra Cos: 0.05360744148492813
Inter Cos: -0.0075279660522937775
Norm Quadratic Average: 8.689308166503906
Nearest Class Center Accuracy: 0.947

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06796407699585
Linear Weight Rank: 179
Intra Cos: 0.1364152580499649
Inter Cos: -0.024105824530124664
Norm Quadratic Average: 8.756800651550293
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.189110279083252
Linear Weight Rank: 4
Intra Cos: 0.44739416241645813
Inter Cos: -0.12452612072229385
Norm Quadratic Average: 9.148849487304688
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9425155520439148
Inter Cos: -0.2474965751171112
Norm Quadratic Average: 7.816861152648926
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.954880973815918
Accuracy: 0.504
NC1 Within Class Collapse: 15.498858451843262
NC2 Equinorm: Features: 0.09884156286716461, Weights: 0.013763166964054108
NC2 Equiangle: Features: 0.24913426240285239, Weights: 0.03354306022326151
NC3 Self-Duality: 0.17901650071144104
NC4 NCC Mismatch: 0.05349999999999999

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.166067123413086
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288223952055
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: 5.51684045791626
Linear Weight Rank: 179
Intra Cos: 0.012641866691410542
Inter Cos: 0.004432848189026117
Norm Quadratic Average: 8.71457576751709
Nearest Class Center Accuracy: 0.465

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.399021148681641
Linear Weight Rank: 179
Intra Cos: 0.011586835607886314
Inter Cos: 0.003261544508859515
Norm Quadratic Average: 8.667814254760742
Nearest Class Center Accuracy: 0.4915

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.342630863189697
Linear Weight Rank: 180
Intra Cos: 0.009009042754769325
Inter Cos: 0.0013824139023199677
Norm Quadratic Average: 8.657626152038574
Nearest Class Center Accuracy: 0.5035

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.238344669342041
Linear Weight Rank: 180
Intra Cos: 0.00865952204912901
Inter Cos: 0.0006537571316584945
Norm Quadratic Average: 8.565300941467285
Nearest Class Center Accuracy: 0.501

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.163841724395752
Linear Weight Rank: 179
Intra Cos: 0.009775234386324883
Inter Cos: 0.0008853136678226292
Norm Quadratic Average: 8.524662017822266
Nearest Class Center Accuracy: 0.5125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.113040447235107
Linear Weight Rank: 180
Intra Cos: 0.010948676615953445
Inter Cos: 0.0011778719490393996
Norm Quadratic Average: 8.392410278320312
Nearest Class Center Accuracy: 0.521

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06796407699585
Linear Weight Rank: 179
Intra Cos: 0.018063800409436226
Inter Cos: 0.0018151741242036223
Norm Quadratic Average: 8.13701057434082
Nearest Class Center Accuracy: 0.5305

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.189110279083252
Linear Weight Rank: 4
Intra Cos: 0.04904341697692871
Inter Cos: 0.005963091738522053
Norm Quadratic Average: 7.596304416656494
Nearest Class Center Accuracy: 0.5085

Output Layer:
Intra Cos: 0.12620019912719727
Inter Cos: 0.01723150536417961
Norm Quadratic Average: 5.556573867797852
Nearest Class Center Accuracy: 0.5095

