what hyperparams/settings for 90.94 f1 on CoNLL 2003 ?

[sravanbabuiitm]

Hi,

I have tried training NER model using the Anago sequence code.
I also used pretrained glove embeddings and followed exact same code as here :
https://github.com/Hironsan/anago/blob/master/examples/ner_glove.py

I also tried w2v with word_embedding lower_case=False, but I'm unable to go past 87 F1 score.
I tried changing the optimizer from adam to sgd with grad clipping at 5

Can you please let me know the settings used for 90.94 ?
I have tried several runs with diff hyperparam settings but still dont go beyond 87.