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_979323_weight_decay_0.05.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1746785640716553
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222445052117109
Norm Quadratic Average: 3.9938879013061523
Nearest Class Center Accuracy: 0.583375

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.724396824836731
Linear Weight Rank: 177
Intra Cos: 0.02899583801627159
Inter Cos: -0.005488747265189886
Norm Quadratic Average: 1.3606882095336914
Nearest Class Center Accuracy: 0.61775

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.522307276725769
Linear Weight Rank: 177
Intra Cos: 0.04356519877910614
Inter Cos: -0.009616371244192123
Norm Quadratic Average: 1.2345367670059204
Nearest Class Center Accuracy: 0.7675

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.080262303352356
Linear Weight Rank: 177
Intra Cos: 0.09115629643201828
Inter Cos: -0.02450864017009735
Norm Quadratic Average: 1.0899245738983154
Nearest Class Center Accuracy: 0.96

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8937802314758301
Linear Weight Rank: 174
Intra Cos: 0.4838145673274994
Inter Cos: -0.13333359360694885
Norm Quadratic Average: 1.1295629739761353
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.212212324142456
Linear Weight Rank: 4
Intra Cos: 0.9789855480194092
Inter Cos: -0.24865370988845825
Norm Quadratic Average: 2.5070130825042725
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9951969385147095
Inter Cos: -0.21750059723854065
Norm Quadratic Average: 3.1678831577301025
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.6610973167419434
Accuracy: 0.751
NC1 Within Class Collapse: 2.5248494148254395
NC2 Equinorm: Features: 0.035212185233831406, Weights: 0.026651201769709587
NC2 Equiangle: Features: 0.05754896501700083, Weights: 0.017886638641357422
NC3 Self-Duality: 0.015380600467324257
NC4 NCC Mismatch: 0.013499999999999956

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.1746785640716553
Linear Weight Rank: 16
Intra Cos: 0.030431468039751053
Inter Cos: -0.00454972218722105
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: 1.724396824836731
Linear Weight Rank: 177
Intra Cos: 0.026510119438171387
Inter Cos: -0.005050867795944214
Norm Quadratic Average: 1.3611596822738647
Nearest Class Center Accuracy: 0.6245

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.522307276725769
Linear Weight Rank: 177
Intra Cos: 0.03370516374707222
Inter Cos: -0.004594410769641399
Norm Quadratic Average: 1.2311286926269531
Nearest Class Center Accuracy: 0.704

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.080262303352356
Linear Weight Rank: 177
Intra Cos: 0.061359379440546036
Inter Cos: -0.0059396387077867985
Norm Quadratic Average: 1.0711733102798462
Nearest Class Center Accuracy: 0.757

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 0.8937802314758301
Linear Weight Rank: 174
Intra Cos: 0.22194360196590424
Inter Cos: -0.03724284470081329
Norm Quadratic Average: 1.0494049787521362
Nearest Class Center Accuracy: 0.758

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.212212324142456
Linear Weight Rank: 4
Intra Cos: 0.4721814692020416
Inter Cos: -0.10433511435985565
Norm Quadratic Average: 2.100611448287964
Nearest Class Center Accuracy: 0.7555

Output Layer:
Intra Cos: 0.49020978808403015
Inter Cos: -0.11896315217018127
Norm Quadratic Average: 2.634078025817871
Nearest Class Center Accuracy: 0.754

