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_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.946798324584961
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: 6.246009349822998
Linear Weight Rank: 180
Intra Cos: 0.01249486580491066
Inter Cos: 0.00543705839663744
Norm Quadratic Average: 10.111169815063477
Nearest Class Center Accuracy: 0.46025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.135026931762695
Linear Weight Rank: 180
Intra Cos: 0.011933653615415096
Inter Cos: 0.0038816602900624275
Norm Quadratic Average: 10.075932502746582
Nearest Class Center Accuracy: 0.48225

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.09053373336792
Linear Weight Rank: 180
Intra Cos: 0.012195095419883728
Inter Cos: 0.00046621629735454917
Norm Quadratic Average: 10.064360618591309
Nearest Class Center Accuracy: 0.521625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994575500488281
Linear Weight Rank: 179
Intra Cos: 0.017515959218144417
Inter Cos: -0.0012243264354765415
Norm Quadratic Average: 10.050018310546875
Nearest Class Center Accuracy: 0.59925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.932566165924072
Linear Weight Rank: 179
Intra Cos: 0.02679864689707756
Inter Cos: -0.0029862113296985626
Norm Quadratic Average: 10.064507484436035
Nearest Class Center Accuracy: 0.742

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.895546913146973
Linear Weight Rank: 180
Intra Cos: 0.04759083315730095
Inter Cos: -0.00786713045090437
Norm Quadratic Average: 10.054919242858887
Nearest Class Center Accuracy: 0.9285

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8519206047058105
Linear Weight Rank: 179
Intra Cos: 0.11573716253042221
Inter Cos: -0.02156068943440914
Norm Quadratic Average: 10.108413696289062
Nearest Class Center Accuracy: 0.999875

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2970733642578125
Linear Weight Rank: 4
Intra Cos: 0.3707250654697418
Inter Cos: -0.10216986387968063
Norm Quadratic Average: 10.48798656463623
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9291868209838867
Inter Cos: -0.23828837275505066
Norm Quadratic Average: 8.654073715209961
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.1693470458984376
Accuracy: 0.5075
NC1 Within Class Collapse: 15.785831451416016
NC2 Equinorm: Features: 0.08665425330400467, Weights: 0.014286954887211323
NC2 Equiangle: Features: 0.21776477495829263, Weights: 0.04060220221678416
NC3 Self-Duality: 0.19101493060588837
NC4 NCC Mismatch: 0.061000000000000054

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.946798324584961
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: 6.246009349822998
Linear Weight Rank: 180
Intra Cos: 0.012553463689982891
Inter Cos: 0.004709579516202211
Norm Quadratic Average: 10.065393447875977
Nearest Class Center Accuracy: 0.464

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.135026931762695
Linear Weight Rank: 180
Intra Cos: 0.011697417125105858
Inter Cos: 0.0041470956057310104
Norm Quadratic Average: 10.02147102355957
Nearest Class Center Accuracy: 0.491

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.09053373336792
Linear Weight Rank: 180
Intra Cos: 0.00939737819135189
Inter Cos: 0.0012375605292618275
Norm Quadratic Average: 10.023422241210938
Nearest Class Center Accuracy: 0.5

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994575500488281
Linear Weight Rank: 179
Intra Cos: 0.00972873903810978
Inter Cos: 0.00022731133503839374
Norm Quadratic Average: 9.934412956237793
Nearest Class Center Accuracy: 0.5135

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.932566165924072
Linear Weight Rank: 179
Intra Cos: 0.009874727576971054
Inter Cos: -0.0005660246824845672
Norm Quadratic Average: 9.90307331085205
Nearest Class Center Accuracy: 0.5125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.895546913146973
Linear Weight Rank: 180
Intra Cos: 0.01064663752913475
Inter Cos: -0.0004642707936000079
Norm Quadratic Average: 9.779911041259766
Nearest Class Center Accuracy: 0.5205

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.8519206047058105
Linear Weight Rank: 179
Intra Cos: 0.015729250386357307
Inter Cos: 0.0003690418670885265
Norm Quadratic Average: 9.507512092590332
Nearest Class Center Accuracy: 0.536

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.2970733642578125
Linear Weight Rank: 4
Intra Cos: 0.04023633897304535
Inter Cos: 0.0009607396204955876
Norm Quadratic Average: 8.935507774353027
Nearest Class Center Accuracy: 0.512

Output Layer:
Intra Cos: 0.12845608592033386
Inter Cos: 9.498745203018188e-05
Norm Quadratic Average: 6.206955909729004
Nearest Class Center Accuracy: 0.5075

