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_0.01.pth.tar
Training Set:
Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.093414783477783
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: 5.039749622344971
Linear Weight Rank: 180
Intra Cos: 0.023458583280444145
Inter Cos: -0.004867503885179758
Norm Quadratic Average: 3.0418612957000732
Nearest Class Center Accuracy: 0.564875

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.034893035888672
Linear Weight Rank: 180
Intra Cos: 0.022162899374961853
Inter Cos: -0.002682471415027976
Norm Quadratic Average: 0.6857395172119141
Nearest Class Center Accuracy: 0.53125

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06806755065918
Linear Weight Rank: 179
Intra Cos: 0.01833225227892399
Inter Cos: -0.0027215953450649977
Norm Quadratic Average: 0.15956243872642517
Nearest Class Center Accuracy: 0.505375

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0446882247924805
Linear Weight Rank: 180
Intra Cos: 0.018246838822960854
Inter Cos: 0.0019048394169658422
Norm Quadratic Average: 0.039314378052949905
Nearest Class Center Accuracy: 0.492

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048305988311768
Linear Weight Rank: 180
Intra Cos: 0.017849931493401527
Inter Cos: -0.0014897244982421398
Norm Quadratic Average: 0.009936694987118244
Nearest Class Center Accuracy: 0.471875

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068171501159668
Linear Weight Rank: 180
Intra Cos: 0.020181799307465553
Inter Cos: -0.0025790068320930004
Norm Quadratic Average: 0.0025527826510369778
Nearest Class Center Accuracy: 0.45225

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055283069610596
Linear Weight Rank: 179
Intra Cos: 0.026832029223442078
Inter Cos: 0.0032835870515555143
Norm Quadratic Average: 0.0006548008532263339
Nearest Class Center Accuracy: 0.446

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7464277148246765
Linear Weight Rank: 4
Intra Cos: 0.02660573646426201
Inter Cos: 0.00537106953561306
Norm Quadratic Average: 0.00016022803902160376
Nearest Class Center Accuracy: 0.44225

Output Layer:
Intra Cos: 0.022985335439443588
Inter Cos: 0.026765167713165283
Norm Quadratic Average: 8.715526746527757e-06
Nearest Class Center Accuracy: 0.3405

Test Set:
Average Loss: 1.3865691566467284
Accuracy: 0.255
NC1 Within Class Collapse: 30.31134796142578
NC2 Equinorm: Features: 0.16865846514701843, Weights: 0.027855049818754196
NC2 Equiangle: Features: 0.24177630742390951, Weights: 0.2911682327588399
NC3 Self-Duality: 1.8570077419281006
NC4 NCC Mismatch: 0.7805

Layer 0: Linear(in_features=16, out_features=200, bias=True)
Linear Weight Norm: 5.093414783477783
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: 5.039749622344971
Linear Weight Rank: 180
Intra Cos: 0.022195609286427498
Inter Cos: -0.00426352908834815
Norm Quadratic Average: 3.0346086025238037
Nearest Class Center Accuracy: 0.5815

Layer 2: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.034893035888672
Linear Weight Rank: 180
Intra Cos: 0.021234504878520966
Inter Cos: -0.003658261150121689
Norm Quadratic Average: 0.6819115281105042
Nearest Class Center Accuracy: 0.5425

Layer 3: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.06806755065918
Linear Weight Rank: 179
Intra Cos: 0.017021073028445244
Inter Cos: -0.0029698365833610296
Norm Quadratic Average: 0.1585853397846222
Nearest Class Center Accuracy: 0.51

Layer 4: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.0446882247924805
Linear Weight Rank: 180
Intra Cos: 0.01607169210910797
Inter Cos: 0.0013044369406998158
Norm Quadratic Average: 0.03897499293088913
Nearest Class Center Accuracy: 0.4925

Layer 5: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.048305988311768
Linear Weight Rank: 180
Intra Cos: 0.01491087581962347
Inter Cos: -0.0010892266873270273
Norm Quadratic Average: 0.009852508082985878
Nearest Class Center Accuracy: 0.479

Layer 6: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.068171501159668
Linear Weight Rank: 180
Intra Cos: 0.015851879492402077
Inter Cos: -0.0023374687880277634
Norm Quadratic Average: 0.002531410427764058
Nearest Class Center Accuracy: 0.463

Layer 7: Linear(in_features=200, out_features=200, bias=True)
Linear Weight Norm: 5.055283069610596
Linear Weight Rank: 179
Intra Cos: 0.020995046943426132
Inter Cos: 0.004330138675868511
Norm Quadratic Average: 0.0006502152536995709
Nearest Class Center Accuracy: 0.444

Layer 8: Linear(in_features=200, out_features=4, bias=True)
Linear Weight Norm: 0.7464277148246765
Linear Weight Rank: 4
Intra Cos: 0.020606162026524544
Inter Cos: 0.006432312075048685
Norm Quadratic Average: 0.0001596608926774934
Nearest Class Center Accuracy: 0.435

Output Layer:
Intra Cos: 0.023399772122502327
Inter Cos: 0.018141383305191994
Norm Quadratic Average: 8.66318805492483e-06
Nearest Class Center Accuracy: 0.351

