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View Code? Open in Web Editor NEWNamed Entity Recognition using BERT
Named Entity Recognition using BERT
Instructions for running the ColabNotebook and code in the folder attached The code provided in the colab notebook is for zero-shot, few-shot and finetuning. Please run the code given in the folder named NER_in_BERT for changing the hyperparameters, loss and optimizer and to analyze the results. To run the code in the repository kindly run the following commands: pip install -r requirements.txt python run_ner.py --data_dir=data/ --bert_model=bert-base-cased --task_name=ner --output_dir=out_base --max_seq_length=128 --do_train --num_train_epochs 5 --do_eval --warmup_proportion=0.1 The number of epochs can be chandged using the command line arguments. To change the loss, optimizer and other hyperparameters, please make changes in the run_ner.py file. There are commented lines of code to assist in changing loss functions and optimizers.
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