readme: Arabic Nested Named Entity Recognition Model
  ================================================
  This model is trained on Wojood is a corpus for Arabic nested Named Entity Recognition (NER). Nested entities occur when one entity mention is embedded inside another entity mention. 550K tokens (MSA and dialect) This repo contains the source-code to train Wojood nested NER.
  
  Online Demo
  ------------------------------------------------
  You can try our model using the demo link below
  
  [https://ontology.birzeit.edu/Wojood/](https://ontology.birzeit.edu/Wojood/)
  
  Source Code
  ------------------------------------------------
  Available on GitHub:  [https://github.com/SinaLab/ArabicNER](https://github.com/SinaLab/ArabicNER)
  
  Model Parameters
  ------------------------------------------------
  |Parameter|Value|
  |-----------|-----------|
  |Transformer|BERT-base|
  |Pre-trained model|aubmindlab/bert-base-arabertv2|
  |Learning rate|0.0001|
  |Batch size|16|
  |Max sequence length|512|
  |Gradient clipping|3|
  |Dropout|0.1|
  |Loss|Cross entropy loss|
  |Optimizer|AdamW|
  
  