Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_conic_epochs_100_lr_0.001_model_type_MLP_rand_seed_338327_weight_decay_0.0005.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.030901908874512
Linear Weight Rank: 16
Intra Cos: 0.07988915592432022
Inter Cos: 0.0017584841698408127
Norm Quadratic Average: 4.001681327819824
Nearest Class Center Accuracy: 0.948875

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031518936157227
Linear Weight Rank: 180
Intra Cos: 0.07341746985912323
Inter Cos: 0.0012969034723937511
Norm Quadratic Average: 13.927295684814453
Nearest Class Center Accuracy: 0.86075

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.983919620513916
Linear Weight Rank: 179
Intra Cos: 0.11484463512897491
Inter Cos: 0.0010277400724589825
Norm Quadratic Average: 13.896980285644531
Nearest Class Center Accuracy: 0.926625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960294723510742
Linear Weight Rank: 180
Intra Cos: 0.1564587652683258
Inter Cos: 0.009301121346652508
Norm Quadratic Average: 13.818352699279785
Nearest Class Center Accuracy: 0.965875

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9773945808410645
Linear Weight Rank: 180
Intra Cos: 0.2181369811296463
Inter Cos: 0.011653405614197254
Norm Quadratic Average: 13.766149520874023
Nearest Class Center Accuracy: 0.9965

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4278764724731445
Linear Weight Rank: 4
Intra Cos: 0.36893147230148315
Inter Cos: -0.030970200896263123
Norm Quadratic Average: 13.845070838928223
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9220736026763916
Inter Cos: -0.04947318136692047
Norm Quadratic Average: 12.018506050109863
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 0.281600528717041
Accuracy: 0.9025
NC1 Within Class Collapse: 1.3933953046798706
NC2 Equinorm: Features: 0.028329478576779366, Weights: 0.017163429409265518
NC2 Equiangle: Features: 0.3106537659962972, Weights: 0.11795120437939961
NC3 Self-Duality: 0.22074787318706512
NC4 NCC Mismatch: 0.023499999999999965

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.030901908874512
Linear Weight Rank: 16
Intra Cos: 0.08033028244972229
Inter Cos: 0.0033129025250673294
Norm Quadratic Average: 3.988335609436035
Nearest Class Center Accuracy: 0.9165

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 8.031518936157227
Linear Weight Rank: 180
Intra Cos: 0.07520423829555511
Inter Cos: 0.004578505642712116
Norm Quadratic Average: 13.914314270019531
Nearest Class Center Accuracy: 0.863

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.983919620513916
Linear Weight Rank: 179
Intra Cos: 0.11333823949098587
Inter Cos: 0.0051843468099832535
Norm Quadratic Average: 13.894885063171387
Nearest Class Center Accuracy: 0.9015

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.960294723510742
Linear Weight Rank: 180
Intra Cos: 0.14742150902748108
Inter Cos: 0.014343220740556717
Norm Quadratic Average: 13.82580852508545
Nearest Class Center Accuracy: 0.9145

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.9773945808410645
Linear Weight Rank: 180
Intra Cos: 0.18700553476810455
Inter Cos: 0.015435327775776386
Norm Quadratic Average: 13.765870094299316
Nearest Class Center Accuracy: 0.9045

Layer 5: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.4278764724731445
Linear Weight Rank: 4
Intra Cos: 0.2775721549987793
Inter Cos: -0.007181474938988686
Norm Quadratic Average: 13.679161071777344
Nearest Class Center Accuracy: 0.906

Output Layer:
Intra Cos: 0.7407153844833374
Inter Cos: 0.01078551635146141
Norm Quadratic Average: 11.648086547851562
Nearest Class Center Accuracy: 0.9055

