Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_True_dataset_mlp6_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_265358_weight_decay_0.007.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.978390693664551
Linear Weight Rank: 16
Intra Cos: 0.014583900570869446
Inter Cos: 0.004829855170100927
Norm Quadratic Average: 3.993140459060669
Nearest Class Center Accuracy: 0.447

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.273280143737793
Linear Weight Rank: 179
Intra Cos: 0.012081045657396317
Inter Cos: 0.0027787848375737667
Norm Quadratic Average: 10.099434852600098
Nearest Class Center Accuracy: 0.460625

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.150076389312744
Linear Weight Rank: 180
Intra Cos: 0.010611021891236305
Inter Cos: 0.002363126026466489
Norm Quadratic Average: 10.070822715759277
Nearest Class Center Accuracy: 0.487625

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.084201335906982
Linear Weight Rank: 180
Intra Cos: 0.01275920495390892
Inter Cos: 0.002758569084107876
Norm Quadratic Average: 10.060835838317871
Nearest Class Center Accuracy: 0.5245

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994888782501221
Linear Weight Rank: 180
Intra Cos: 0.01730533502995968
Inter Cos: 0.0015587363159283996
Norm Quadratic Average: 10.05334186553955
Nearest Class Center Accuracy: 0.594125

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.942668914794922
Linear Weight Rank: 179
Intra Cos: 0.026148416101932526
Inter Cos: -0.00010132158058695495
Norm Quadratic Average: 10.053398132324219
Nearest Class Center Accuracy: 0.7185

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.869297027587891
Linear Weight Rank: 179
Intra Cos: 0.049324069172143936
Inter Cos: -0.007735196501016617
Norm Quadratic Average: 10.054046630859375
Nearest Class Center Accuracy: 0.901875

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.837969779968262
Linear Weight Rank: 179
Intra Cos: 0.12020638585090637
Inter Cos: -0.02640659734606743
Norm Quadratic Average: 10.112529754638672
Nearest Class Center Accuracy: 0.9995

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.295980930328369
Linear Weight Rank: 4
Intra Cos: 0.38343632221221924
Inter Cos: -0.11539565771818161
Norm Quadratic Average: 10.538281440734863
Nearest Class Center Accuracy: 1.0

Output Layer:
Intra Cos: 0.9354933500289917
Inter Cos: -0.2121269553899765
Norm Quadratic Average: 8.757796287536621
Nearest Class Center Accuracy: 1.0

Test Set:
Average Loss: 2.034418846130371
Accuracy: 0.5105
NC1 Within Class Collapse: 13.933449745178223
NC2 Equinorm: Features: 0.05892657861113548, Weights: 0.029817363247275352
NC2 Equiangle: Features: 0.2456127405166626, Weights: 0.041780680418014526
NC3 Self-Duality: 0.20342472195625305
NC4 NCC Mismatch: 0.050000000000000044

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.978390693664551
Linear Weight Rank: 16
Intra Cos: 0.014108892530202866
Inter Cos: 0.005012288689613342
Norm Quadratic Average: 3.9761204719543457
Nearest Class Center Accuracy: 0.4485

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.273280143737793
Linear Weight Rank: 179
Intra Cos: 0.013120466843247414
Inter Cos: 0.002822608919814229
Norm Quadratic Average: 10.082880973815918
Nearest Class Center Accuracy: 0.477

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.150076389312744
Linear Weight Rank: 180
Intra Cos: 0.010208552703261375
Inter Cos: 0.001983972731977701
Norm Quadratic Average: 10.044260025024414
Nearest Class Center Accuracy: 0.4995

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 6.084201335906982
Linear Weight Rank: 180
Intra Cos: 0.010255909524857998
Inter Cos: 0.0023631008807569742
Norm Quadratic Average: 10.011787414550781
Nearest Class Center Accuracy: 0.488

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.994888782501221
Linear Weight Rank: 180
Intra Cos: 0.011290349066257477
Inter Cos: 0.0035674404352903366
Norm Quadratic Average: 9.970169067382812
Nearest Class Center Accuracy: 0.5015

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.942668914794922
Linear Weight Rank: 179
Intra Cos: 0.01200251653790474
Inter Cos: 0.004174898844212294
Norm Quadratic Average: 9.904138565063477
Nearest Class Center Accuracy: 0.512

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.869297027587891
Linear Weight Rank: 179
Intra Cos: 0.013365919701755047
Inter Cos: 0.002374197356402874
Norm Quadratic Average: 9.779050827026367
Nearest Class Center Accuracy: 0.5135

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.837969779968262
Linear Weight Rank: 179
Intra Cos: 0.0182817280292511
Inter Cos: 0.0023795661982148886
Norm Quadratic Average: 9.516678810119629
Nearest Class Center Accuracy: 0.533

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 2.295980930328369
Linear Weight Rank: 4
Intra Cos: 0.04336822032928467
Inter Cos: 0.004908655770123005
Norm Quadratic Average: 8.992342948913574
Nearest Class Center Accuracy: 0.52

Output Layer:
Intra Cos: 0.13465462625026703
Inter Cos: 0.02109736017882824
Norm Quadratic Average: 6.251689434051514
Nearest Class Center Accuracy: 0.5155

