Model save path: /content/drive/MyDrive/Neural Collapse/New_Models/bn_False_dataset_mlp3_epochs_100_lr_0.001_model_depth_MLP_9_model_type_MLP_rand_seed_979323_weight_decay_0.001.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.846532344818115
Linear Weight Rank: 16
Intra Cos: 0.03299567475914955
Inter Cos: -0.006222446449100971
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: 7.763875484466553
Linear Weight Rank: 180
Intra Cos: 0.023465164005756378
Inter Cos: -0.004872759338468313
Norm Quadratic Average: 4.686179161071777
Nearest Class Center Accuracy: 0.56475

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.756418228149414
Linear Weight Rank: 180
Intra Cos: 0.0221558827906847
Inter Cos: -0.0029263021424412727
Norm Quadratic Average: 1.6271779537200928
Nearest Class Center Accuracy: 0.53125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.80751895904541
Linear Weight Rank: 179
Intra Cos: 0.017785806208848953
Inter Cos: -0.00300979963503778
Norm Quadratic Average: 0.5800319314002991
Nearest Class Center Accuracy: 0.505375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771519184112549
Linear Weight Rank: 180
Intra Cos: 0.015418821945786476
Inter Cos: 0.00034707062877714634
Norm Quadratic Average: 0.21275871992111206
Nearest Class Center Accuracy: 0.492375

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777046203613281
Linear Weight Rank: 180
Intra Cos: 0.012605327181518078
Inter Cos: -0.0019005911890417337
Norm Quadratic Average: 0.08284322172403336
Nearest Class Center Accuracy: 0.45775

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807525157928467
Linear Weight Rank: 180
Intra Cos: 0.013552305288612843
Inter Cos: 0.003013158682733774
Norm Quadratic Average: 0.03328554704785347
Nearest Class Center Accuracy: 0.435625

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.787601947784424
Linear Weight Rank: 179
Intra Cos: 0.017516061663627625
Inter Cos: 0.0022044999059289694
Norm Quadratic Average: 0.013481379486620426
Nearest Class Center Accuracy: 0.4295

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.145424723625183
Linear Weight Rank: 4
Intra Cos: 0.013922587037086487
Inter Cos: 0.0014872243627905846
Norm Quadratic Average: 0.005141640082001686
Nearest Class Center Accuracy: 0.421375

Output Layer:
Intra Cos: 0.030827635899186134
Inter Cos: 0.019443543627858162
Norm Quadratic Average: 0.0005678225425072014
Nearest Class Center Accuracy: 0.38625

Test Set:
Average Loss: 1.3866710929870605
Accuracy: 0.255
NC1 Within Class Collapse: 30.450807571411133
NC2 Equinorm: Features: 0.26774826645851135, Weights: 0.022821376100182533
NC2 Equiangle: Features: 0.1730349063873291, Weights: 0.2929019133249919
NC3 Self-Duality: 1.559777855873108
NC4 NCC Mismatch: 0.819

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 7.846532344818115
Linear Weight Rank: 16
Intra Cos: 0.030431464314460754
Inter Cos: -0.004549724515527487
Norm Quadratic Average: 3.9951603412628174
Nearest Class Center Accuracy: 0.583

Layer 1: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.763875484466553
Linear Weight Rank: 180
Intra Cos: 0.022200625389814377
Inter Cos: -0.004267272539436817
Norm Quadratic Average: 4.674985885620117
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.756418228149414
Linear Weight Rank: 180
Intra Cos: 0.021215196698904037
Inter Cos: -0.003955499734729528
Norm Quadratic Average: 1.6180464029312134
Nearest Class Center Accuracy: 0.539

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.80751895904541
Linear Weight Rank: 179
Intra Cos: 0.016433021053671837
Inter Cos: -0.0015003674197942019
Norm Quadratic Average: 0.5764126777648926
Nearest Class Center Accuracy: 0.5005

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.771519184112549
Linear Weight Rank: 180
Intra Cos: 0.014454287476837635
Inter Cos: -0.000385059422114864
Norm Quadratic Average: 0.21080400049686432
Nearest Class Center Accuracy: 0.505

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.777046203613281
Linear Weight Rank: 180
Intra Cos: 0.011410465463995934
Inter Cos: -0.0017091926420107484
Norm Quadratic Average: 0.08200477063655853
Nearest Class Center Accuracy: 0.458

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.807525157928467
Linear Weight Rank: 180
Intra Cos: 0.011385293677449226
Inter Cos: 5.3762538300361484e-05
Norm Quadratic Average: 0.03288990259170532
Nearest Class Center Accuracy: 0.433

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 7.787601947784424
Linear Weight Rank: 179
Intra Cos: 0.016102902591228485
Inter Cos: 0.002238127402961254
Norm Quadratic Average: 0.013269169256091118
Nearest Class Center Accuracy: 0.4225

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 1.145424723625183
Linear Weight Rank: 4
Intra Cos: 0.013184424489736557
Inter Cos: -0.00015159552276600152
Norm Quadratic Average: 0.005074862390756607
Nearest Class Center Accuracy: 0.4105

Output Layer:
Intra Cos: 0.027638433501124382
Inter Cos: 0.016153542324900627
Norm Quadratic Average: 0.000560108688659966
Nearest Class Center Accuracy: 0.383

