Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_6_model_type_MLP_rand_seed_314159_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1768949031829834
Linear Weight Rank: 16
Intra Cos: 0.03299568220973015
Inter Cos: -0.006222447846084833
Norm Quadratic Average: 3.9938881397247314
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7380614280700684
Linear Weight Rank: 176
Intra Cos: 0.03049495629966259
Inter Cos: -0.005312556400895119
Norm Quadratic Average: 1.3679015636444092
Nearest Class Center Accuracy: 0.619

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5244951248168945
Linear Weight Rank: 177
Intra Cos: 0.041977494955062866
Inter Cos: -0.007466531358659267
Norm Quadratic Average: 1.239694595336914
Nearest Class Center Accuracy: 0.76175

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0632890462875366
Linear Weight Rank: 176
Intra Cos: 0.09416720271110535
Inter Cos: -0.02238317020237446
Norm Quadratic Average: 1.088592290878296
Nearest Class Center Accuracy: 0.959125

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.896198034286499
Linear Weight Rank: 174
Intra Cos: 0.4664371609687805
Inter Cos: -0.13716472685337067
Norm Quadratic Average: 1.1277642250061035
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.211545705795288
Linear Weight Rank: 4
Intra Cos: 0.982651948928833
Inter Cos: -0.2474430948495865
Norm Quadratic Average: 2.490013837814331
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9963722825050354
Inter Cos: -0.21618619561195374
Norm Quadratic Average: 3.1487860679626465
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.6776074085235596
Accuracy: 0.747
NC1 Within Class Collapse: 2.6556143760681152
NC2 Equinorm: Features: 0.038037147372961044, Weights: 0.02368486486375332
NC2 Equiangle: Features: 0.06640010078748067, Weights: 0.020424644152323406
NC3 Self-Duality: 0.014850367791950703
NC4 NCC Mismatch: 0.007499999999999951

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1768949031829834
Linear Weight Rank: 16
Intra Cos: 0.03043147176504135
Inter Cos: -0.004549722652882338
Norm Quadratic Average: 3.9951601028442383
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.7380614280700684
Linear Weight Rank: 176
Intra Cos: 0.027251357212662697
Inter Cos: -0.003831941168755293
Norm Quadratic Average: 1.374851107597351
Nearest Class Center Accuracy: 0.6125

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.5244951248168945
Linear Weight Rank: 177
Intra Cos: 0.03211839124560356
Inter Cos: -0.0026561717968434095
Norm Quadratic Average: 1.2407937049865723
Nearest Class Center Accuracy: 0.688

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.0632890462875366
Linear Weight Rank: 176
Intra Cos: 0.0623672790825367
Inter Cos: -0.0034309301991015673
Norm Quadratic Average: 1.0721417665481567
Nearest Class Center Accuracy: 0.734

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.896198034286499
Linear Weight Rank: 174
Intra Cos: 0.22152750194072723
Inter Cos: -0.039120279252529144
Norm Quadratic Average: 1.049402117729187
Nearest Class Center Accuracy: 0.756

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.211545705795288
Linear Weight Rank: 4
Intra Cos: 0.4495121240615845
Inter Cos: -0.0913735181093216
Norm Quadratic Average: 2.0836212635040283
Nearest Class Center Accuracy: 0.747

Output Layer:
Intra Cos: 0.4667692184448242
Inter Cos: -0.10141214728355408
Norm Quadratic Average: 2.6146152019500732
Nearest Class Center Accuracy: 0.7455

