Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_846264_weight_decay_0.03.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.99677312374115
Linear Weight Rank: 16
Intra Cos: 0.07988917082548141
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001680850982666
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1378841400146484
Linear Weight Rank: 179
Intra Cos: 0.08987721055746078
Inter Cos: 0.0010435739532113075
Norm Quadratic Average: 3.3465771675109863
Nearest Class Center Accuracy: 0.91075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0356240272521973
Linear Weight Rank: 179
Intra Cos: 0.15383629500865936
Inter Cos: 0.00540041271597147
Norm Quadratic Average: 3.3019118309020996
Nearest Class Center Accuracy: 0.97725

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9534986019134521
Linear Weight Rank: 178
Intra Cos: 0.2516946494579315
Inter Cos: 0.0008594258688390255
Norm Quadratic Average: 3.2819321155548096
Nearest Class Center Accuracy: 0.99675

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9379825592041016
Linear Weight Rank: 179
Intra Cos: 0.5455499291419983
Inter Cos: -0.0593717023730278
Norm Quadratic Average: 3.2763736248016357
Nearest Class Center Accuracy: 1.0

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9358452558517456
Linear Weight Rank: 4
Intra Cos: 0.9363758563995361
Inter Cos: -0.23732559382915497
Norm Quadratic Average: 3.8174033164978027
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9956214427947998
Inter Cos: -0.2432076781988144
Norm Quadratic Average: 4.093079566955566
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.18865355539321899
Accuracy: 0.9385
NC1 Within Class Collapse: 0.5188159942626953
NC2 Equinorm: Features: 0.01828969642519951, Weights: 0.023125290870666504
NC2 Equiangle: Features: 0.14439614613850912, Weights: 0.026260678966840107
NC3 Self-Duality: 0.04756809026002884
NC4 NCC Mismatch: 0.0040000000000000036

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 1.99677312374115
Linear Weight Rank: 16
Intra Cos: 0.0803302749991417
Inter Cos: 0.0033128932118415833
Norm Quadratic Average: 3.988335371017456
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.1378841400146484
Linear Weight Rank: 179
Intra Cos: 0.08868387341499329
Inter Cos: 0.006537420209497213
Norm Quadratic Average: 3.3470191955566406
Nearest Class Center Accuracy: 0.915

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.0356240272521973
Linear Weight Rank: 179
Intra Cos: 0.14669515192508698
Inter Cos: 0.012026744894683361
Norm Quadratic Average: 3.2998831272125244
Nearest Class Center Accuracy: 0.9385

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9534986019134521
Linear Weight Rank: 178
Intra Cos: 0.22461514174938202
Inter Cos: 0.009888316504657269
Norm Quadratic Average: 3.2765214443206787
Nearest Class Center Accuracy: 0.941

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.9379825592041016
Linear Weight Rank: 179
Intra Cos: 0.4516412317752838
Inter Cos: -0.029656704515218735
Norm Quadratic Average: 3.2073633670806885
Nearest Class Center Accuracy: 0.943

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.9358452558517456
Linear Weight Rank: 4
Intra Cos: 0.7587151527404785
Inter Cos: -0.12387380003929138
Norm Quadratic Average: 3.5213308334350586
Nearest Class Center Accuracy: 0.9395

Output Layer:
Intra Cos: 0.8237380981445312
Inter Cos: -0.12480311095714569
Norm Quadratic Average: 3.7352614402770996
Nearest Class Center Accuracy: 0.941

