Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8915324211120605
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789346218109131
Linear Weight Rank: 179
Intra Cos: 0.01204122044146061
Inter Cos: 0.0031714176293462515
Norm Quadratic Average: 4.619865417480469
Nearest Class Center Accuracy: 0.45

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771428108215332
Linear Weight Rank: 179
Intra Cos: 0.009652560576796532
Inter Cos: 0.003442068351432681
Norm Quadratic Average: 1.6635161638259888
Nearest Class Center Accuracy: 0.42525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7954583168029785
Linear Weight Rank: 180
Intra Cos: 0.008842029608786106
Inter Cos: 0.005483466200530529
Norm Quadratic Average: 0.6010562777519226
Nearest Class Center Accuracy: 0.417625

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768464088439941
Linear Weight Rank: 180
Intra Cos: 0.008530495688319206
Inter Cos: 0.00346670625731349
Norm Quadratic Average: 0.22125843167304993
Nearest Class Center Accuracy: 0.404875

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789247512817383
Linear Weight Rank: 180
Intra Cos: 0.009759495966136456
Inter Cos: 0.003246896667405963
Norm Quadratic Average: 0.08593785762786865
Nearest Class Center Accuracy: 0.402125

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769461154937744
Linear Weight Rank: 180
Intra Cos: 0.010206312872469425
Inter Cos: 0.002643838059157133
Norm Quadratic Average: 0.03250426799058914
Nearest Class Center Accuracy: 0.39175

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768611431121826
Linear Weight Rank: 180
Intra Cos: 0.009832731448113918
Inter Cos: 0.004474181681871414
Norm Quadratic Average: 0.01179724745452404
Nearest Class Center Accuracy: 0.3765

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1063966751098633
Linear Weight Rank: 4
Intra Cos: 0.010885126888751984
Inter Cos: 0.005900600925087929
Norm Quadratic Average: 0.004742981866002083
Nearest Class Center Accuracy: 0.370375

Output Layer:
Intra Cos: 0.014812100678682327
Inter Cos: 0.01379941962659359
Norm Quadratic Average: 0.0003689613367896527
Nearest Class Center Accuracy: 0.3335

Test Set:
Average Loss: 1.3836626434326171
Accuracy: 0.2695
NC1 Within Class Collapse: 61.40472412109375
NC2 Equinorm: Features: 0.09500019997358322, Weights: 0.05451153963804245
NC2 Equiangle: Features: 0.31847341855367023, Weights: 0.3215025067329407
NC3 Self-Duality: 1.7579818964004517
NC4 NCC Mismatch: 0.789

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.8915324211120605
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
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: 7.789346218109131
Linear Weight Rank: 179
Intra Cos: 0.013128294609487057
Inter Cos: 0.0036042698193341494
Norm Quadratic Average: 4.6153740882873535
Nearest Class Center Accuracy: 0.4645

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771428108215332
Linear Weight Rank: 179
Intra Cos: 0.0104589918628335
Inter Cos: 0.003222658531740308
Norm Quadratic Average: 1.661332130432129
Nearest Class Center Accuracy: 0.4525

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.7954583168029785
Linear Weight Rank: 180
Intra Cos: 0.00890725664794445
Inter Cos: 0.003999007400125265
Norm Quadratic Average: 0.5990408062934875
Nearest Class Center Accuracy: 0.418

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768464088439941
Linear Weight Rank: 180
Intra Cos: 0.008757497183978558
Inter Cos: 0.0037117861211299896
Norm Quadratic Average: 0.2201918363571167
Nearest Class Center Accuracy: 0.411

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.789247512817383
Linear Weight Rank: 180
Intra Cos: 0.009108159691095352
Inter Cos: 0.0036884755827486515
Norm Quadratic Average: 0.08545730262994766
Nearest Class Center Accuracy: 0.4035

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.769461154937744
Linear Weight Rank: 180
Intra Cos: 0.008704910054802895
Inter Cos: 0.0022156850900501013
Norm Quadratic Average: 0.03229779377579689
Nearest Class Center Accuracy: 0.401

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.768611431121826
Linear Weight Rank: 180
Intra Cos: 0.008362672291696072
Inter Cos: 0.0026766944210976362
Norm Quadratic Average: 0.011736376211047173
Nearest Class Center Accuracy: 0.3735

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.1063966751098633
Linear Weight Rank: 4
Intra Cos: 0.009052376262843609
Inter Cos: 0.0037980549968779087
Norm Quadratic Average: 0.00471908412873745
Nearest Class Center Accuracy: 0.368

Output Layer:
Intra Cos: 0.008058055303990841
Inter Cos: 0.012415790930390358
Norm Quadratic Average: 0.00036642298800870776
Nearest Class Center Accuracy: 0.3135

