Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_conic_epochs_200_lr_0.001_model_type_MLP_rand_seed_314159_weight_decay_0.02.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.921316146850586
Linear Weight Rank: 16
Intra Cos: 0.07988918572664261
Inter Cos: 0.001758486032485962
Norm Quadratic Average: 4.001680374145508
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.926680326461792
Linear Weight Rank: 179
Intra Cos: 0.06480107456445694
Inter Cos: 0.007637491915374994
Norm Quadratic Average: 1.7417582273483276
Nearest Class Center Accuracy: 0.8265

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9336841106414795
Linear Weight Rank: 179
Intra Cos: 0.0674721971154213
Inter Cos: 0.0023608258925378323
Norm Quadratic Average: 0.23401783406734467
Nearest Class Center Accuracy: 0.76875

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.912982702255249
Linear Weight Rank: 179
Intra Cos: 0.09455990791320801
Inter Cos: 0.01097865216434002
Norm Quadratic Average: 0.03614223375916481
Nearest Class Center Accuracy: 0.74

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.916271448135376
Linear Weight Rank: 180
Intra Cos: 0.1353367418050766
Inter Cos: 0.02519816905260086
Norm Quadratic Average: 0.005978867877274752
Nearest Class Center Accuracy: 0.74025

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.44081786274909973
Linear Weight Rank: 4
Intra Cos: 0.16934818029403687
Inter Cos: 0.03268551826477051
Norm Quadratic Average: 0.0010571847669780254
Nearest Class Center Accuracy: 0.75

Output Layer:
Intra Cos: 0.3740866184234619
Inter Cos: 0.10339316725730896
Norm Quadratic Average: 0.0001133242403739132
Nearest Class Center Accuracy: 0.74025

Test Set:
Average Loss: 1.3872006187438966
Accuracy: 0.257
NC1 Within Class Collapse: 36.96101760864258
NC2 Equinorm: Features: 0.21215832233428955, Weights: 0.040689866989851
NC2 Equiangle: Features: 0.43876103560129803, Weights: 0.297866423924764
NC3 Self-Duality: 1.0735764503479004
NC4 NCC Mismatch: 0.7745

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 2.921316146850586
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.003312898799777031
Norm Quadratic Average: 3.9883358478546143
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.926680326461792
Linear Weight Rank: 179
Intra Cos: 0.06408568471670151
Inter Cos: 0.009393876418471336
Norm Quadratic Average: 1.7394444942474365
Nearest Class Center Accuracy: 0.829

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.9336841106414795
Linear Weight Rank: 179
Intra Cos: 0.06543287634849548
Inter Cos: 0.004582448396831751
Norm Quadratic Average: 0.23404060304164886
Nearest Class Center Accuracy: 0.7695

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.912982702255249
Linear Weight Rank: 179
Intra Cos: 0.09391412138938904
Inter Cos: 0.01256200484931469
Norm Quadratic Average: 0.03613870590925217
Nearest Class Center Accuracy: 0.7605

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.916271448135376
Linear Weight Rank: 180
Intra Cos: 0.13299274444580078
Inter Cos: 0.029447002336382866
Norm Quadratic Average: 0.005993427708745003
Nearest Class Center Accuracy: 0.7535

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.44081786274909973
Linear Weight Rank: 4
Intra Cos: 0.16795282065868378
Inter Cos: 0.03874698653817177
Norm Quadratic Average: 0.001060455571860075
Nearest Class Center Accuracy: 0.755

Output Layer:
Intra Cos: 0.3935575783252716
Inter Cos: 0.12970486283302307
Norm Quadratic Average: 0.00011409832222852856
Nearest Class Center Accuracy: 0.744

