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Following through the readme and ran the file
python run_ner.py --data_dir=data/ --bert_model=bert-base-cased --output_dir=out_base --max_seq_length=128 --do_train --num_train_epochs 3 --do_eval --eval_on dev
I get this error. This is blocking,
Traceback (most recent call last):
File "C:\work\code\ai\BERT-NER-TF\run_ner.py", line 512, in
main()
File "C:\work\code\ai\BERT-NER-TF\run_ner.py", line 380, in main
np.asarray([f.label_id for f in eval_features],dtype=np.int32))
UnboundLocalError: local variable 'eval_features' referenced before assignment
The text was updated successfully, but these errors were encountered:
Following through the readme and ran the file
python run_ner.py --data_dir=data/ --bert_model=bert-base-cased --output_dir=out_base --max_seq_length=128 --do_train --num_train_epochs 3 --do_eval --eval_on dev
I get this error. This is blocking,
Traceback (most recent call last):
File "C:\work\code\ai\BERT-NER-TF\run_ner.py", line 512, in
main()
File "C:\work\code\ai\BERT-NER-TF\run_ner.py", line 380, in main
np.asarray([f.label_id for f in eval_features],dtype=np.int32))
UnboundLocalError: local variable 'eval_features' referenced before assignment
The text was updated successfully, but these errors were encountered: