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Hi How to use this model for the prediction of labels on a new dataset?
Here is the command I am using :
python run_bluebert_ner.py --do_prepare=false --do_train=false --do_eval=false --do_predict=true --task_name="bc5cdr" --vocab_file=vocab.txt --bert_config_file=bert_config.json --init_checkpoint=model.ckpt-1516 --num_train_epochs=1.0 --do_lower_case=False --data_dir=no_label_dataset --output_dir=no_label_output/
I am just keeping "do_predict" true because I want to see the labels the model "model.ckpt-1516" predict after fine-tuning.
Here is the sample data without tags:
oxacalcitriol suppresses secondary hyperparathyroidism without inducing low bone turnover in dogs with renal failure
Is it necessary to have labels on new dataset as well?
Thanks
The text was updated successfully, but these errors were encountered:
discovered how to do this.
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Hi
How to use this model for the prediction of labels on a new dataset?
Here is the command I am using :
python run_bluebert_ner.py --do_prepare=false --do_train=false --do_eval=false --do_predict=true --task_name="bc5cdr" --vocab_file=vocab.txt --bert_config_file=bert_config.json --init_checkpoint=model.ckpt-1516 --num_train_epochs=1.0 --do_lower_case=False --data_dir=no_label_dataset --output_dir=no_label_output/
I am just keeping "do_predict" true because I want to see the labels the model "model.ckpt-1516" predict after fine-tuning.
Here is the sample data without tags:
oxacalcitriol
suppresses
secondary
hyperparathyroidism
without
inducing
low
bone
turnover
in
dogs
with
renal
failure
Is it necessary to have labels on new dataset as well?
Thanks
The text was updated successfully, but these errors were encountered: