Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/dataset_mlp3_W20_model_depth_MLP_9_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.545393943786621
Intra Cos: 0.01772155985236168
Inter Cos: 0.0038716495037078857
Norm Quadratic Average: 3.9856889247894287
Nearest Class Center Accuracy: 0.467125

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.245122909545898
Intra Cos: 0.016748527064919472
Inter Cos: 0.0034112920984625816
Norm Quadratic Average: 3.936380386352539
Nearest Class Center Accuracy: 0.52025

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.03877067565918
Intra Cos: 0.021765712648630142
Inter Cos: 0.0011344968806952238
Norm Quadratic Average: 3.7522201538085938
Nearest Class Center Accuracy: 0.625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.620066165924072
Intra Cos: 0.04572853073477745
Inter Cos: -0.0037698564119637012
Norm Quadratic Average: 3.1342811584472656
Nearest Class Center Accuracy: 0.8665

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.9694583415985107
Intra Cos: 0.14833326637744904
Inter Cos: -0.026010997593402863
Norm Quadratic Average: 2.2545864582061768
Nearest Class Center Accuracy: 0.99625

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.017714738845825
Intra Cos: 0.5163639783859253
Inter Cos: -0.15781767666339874
Norm Quadratic Average: 1.4019891023635864
Nearest Class Center Accuracy: 0.999875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4740055799484253
Intra Cos: 0.9338945746421814
Inter Cos: -0.2670571804046631
Norm Quadratic Average: 0.743912398815155
Nearest Class Center Accuracy: 1.0

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.780311107635498
Intra Cos: 0.9871767163276672
Inter Cos: -0.2877945303916931
Norm Quadratic Average: 0.9546021819114685
Nearest Class Center Accuracy: 1.0

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.6188173294067383
Intra Cos: 0.980892539024353
Inter Cos: -0.2761380970478058
Norm Quadratic Average: 3.6294846534729004
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9906986951828003
Inter Cos: -0.2749711573123932
Norm Quadratic Average: 7.518128395080566
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 1.6787101364135741
Accuracy: 0.65
NC1 Within Class Collapse: 5.243232727050781
NC2 Equinorm: Features: 0.04750971868634224, Weights: 0.01418626494705677
NC2 Equiangle: Features: 0.06487214068571727, Weights: 0.012240380048751831
NC3 Self-Duality: 0.010233601555228233
NC4 NCC Mismatch: 0.01200000000000001

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 8.545393943786621
Intra Cos: 0.018952202051877975
Inter Cos: 0.0029295666608959436
Norm Quadratic Average: 3.981503963470459
Nearest Class Center Accuracy: 0.489

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 12.245122909545898
Intra Cos: 0.016813131049275398
Inter Cos: 0.002619824605062604
Norm Quadratic Average: 3.938390016555786
Nearest Class Center Accuracy: 0.534

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 11.03877067565918
Intra Cos: 0.01678248681128025
Inter Cos: -0.00039969474892131984
Norm Quadratic Average: 3.7448983192443848
Nearest Class Center Accuracy: 0.5755

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.620066165924072
Intra Cos: 0.02095870114862919
Inter Cos: 0.00024810037575662136
Norm Quadratic Average: 3.0758936405181885
Nearest Class Center Accuracy: 0.6235

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 3.9694583415985107
Intra Cos: 0.04976584017276764
Inter Cos: 0.006494366098195314
Norm Quadratic Average: 2.063938856124878
Nearest Class Center Accuracy: 0.659

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 2.017714738845825
Intra Cos: 0.1626281440258026
Inter Cos: -0.016679801046848297
Norm Quadratic Average: 1.1362553834915161
Nearest Class Center Accuracy: 0.6525

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.4740055799484253
Intra Cos: 0.28613924980163574
Inter Cos: -0.056954313069581985
Norm Quadratic Average: 0.5901885628700256
Nearest Class Center Accuracy: 0.6455

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 1.780311107635498
Intra Cos: 0.30441513657569885
Inter Cos: -0.06928510218858719
Norm Quadratic Average: 0.7667787671089172
Nearest Class Center Accuracy: 0.6455

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 3.6188173294067383
Intra Cos: 0.28002819418907166
Inter Cos: -0.0646071806550026
Norm Quadratic Average: 3.0229341983795166
Nearest Class Center Accuracy: 0.6485

Output Layer:
Intra Cos: 0.28675931692123413
Inter Cos: -0.06496313214302063
Norm Quadratic Average: 6.1914143562316895
Nearest Class Center Accuracy: 0.6465

