SRL BERT performing poorly for german dataset

[stevemanavalan]

I am trying to train a SRL model for German text by translating Ontonotes dataset and propagating the labels from English sentences to German sentences. When i train the model with this dataset, as well a manually annotated dataset i seem to be stuck at maximum F1 score of 0.62. I am using deepset/gbert-large bert model for training with learning rate 5e-5. I have updated the Ontonotes.py file to read the conll formatted files and i checked the srl frames to ensure the labels are being picked up correctly. Is there something else i am missing out which i need to take care while trying to train a model in different language or is it just the low quality of data which might be causing the issue.

Thanks

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