Loss saturate after 80 Epoch

[sainisanjay]

Hi @github-luffy, I trained AuxiliaryNet on WFLW data set using WingLoss and loss and failure rate: L1 staturate after 80 Epoch. Does this mean model is converged/generalised? What was your final loss during your training?

Epoch:[101  ][100 /293 ]	Loss: 12.227	 lr 1e-05	 average_time:0.269s	 remain_time:20.540h
Epoch:[101  ][200 /293 ]	Loss: 12.547	 lr 1e-05	 average_time:0.269s	 remain_time:20.520h
Epoch:[101  ][293 /293 ]	Loss: 11.627	 lr 1e-05	 average_time:0.269s	 remain_time:20.500h
Test epochs: 10	Loss 0.102
mean error and failure rate
mean error : 0.108
failure rate: L1 0.397

[github-luffy]

You can check the distribution of the loss function to see if it conforms to the state of convergence. Then try the test results again.