PhoNLP doesn't train or evaluate the NER Task

[COCOMiss]

I am running the code of PhoNLP. However , the result shows it doesn't train or evaluate NER task. I paste my parameters below: Train: python3 phonlp/models/run_phonlp.py --mode train --save_dir ./phonlp_tmp_save_model \ --pretrained_lm "vinai/phobert-base" \ --lr 1e-5 --batch_size 32 --num_epoch 40 \ --lambda_pos 0.4 --lambda_ner 0.2 --lambda_dep 0.4 \ --train_file_pos phonlp/sample_data/pos_train.txt --eval_file_pos phonlp/sample_data/pos_valid.txt \ --train_file_ner phonlp/sample_data/ner_train.txt --eval_file_ner phonlp/sample_data/ner_valid.txt \ --train_file_dep phonlp/sample_data/dep_train.conll --eval_file_dep phonlp/sample_data/dep_valid.conll\ --output_file_dep phonlp/models/jointmodel/dep.out

Evaluate: python3 phonlp/models/run_phonlp.py --mode eval --save_dir ./phonlp_tmp_save_model \ --batch_size 8 \ --eval_file_pos phonlp/sample_data/pos_test.txt \ --eval_file_ner phonlp/sample_data/ner_test.txt \ --eval_file_dep phonlp/sample_data/dep_test.conll\ --output_file_dep phonlp/models/jointmodel/dep.out

The results of train and evaluate: Train Result: Training ended with 39 epochs. Best dev las = 5.23, uas = 15.28, upos = 24.22, f1 = 0.0

Evaluate Result： POS tagging: 24.25, NER: 0.00, Dependency parsing: 6.63/27.24

I would appreciate it for your reply. @datquocnguyen @thelinhbkhn2014 @dangne @maihoangdao Thank you~~

[datquocnguyen]

Hi, the "sample" data consists of a few sentences for command line illustration only. Thus, it is not surprising that you'd obtain NER f1 at 0.0. You should replace the "sample" data with your training data.

[COCOMiss]

Hi~~ I have set my train mode for NER --train_file_ner phonlp/sample_data/ner_train.txt --eval_file_ner phonlp/sample_data/ner_valid.txt However， it doesn't work And I tried to set the test mode for NER --eval_file_ner phonlp/sample_data/ner_train.txt or --eval_file_ner phonlp/sample_data/ner_test.txt

All results show NER 0.0

Should I change another dataset or do something else? Thank you for your patience～～

@datquocnguyen