Open YanLiang1102 opened 6 years ago
In that way we can see how each iteration enhance the tag and token accuracy since sometimes I can see that the later iteration actually get a worse result...
Good idea! Or you can do it Keras-style: generate the validation loss/accuracy and only save the model if it outperforms the best previous iteration.
In that way we can see how each iteration enhance the tag and token accuracy since sometimes I can see that the later iteration actually get a worse result...